This document presents a literature review and proposed framework for structuring research on business models (BMs). The framework categorizes BM research into six sub-domains: definitions, components, taxonomies, representations, change methodologies, and evaluation models. The framework maps these sub-domains based on their level of integration with other areas and timeliness for further research. Existing literature is then reviewed and organized within this framework, showing focus on definitions and components but lack of work synthesizing all areas into a comprehensive BM theory. The framework aims to advance BM research by providing a structure to identify gaps and opportunities.
Business model adaptation (or innovation) as a dynamic capabilityAntonio Dottore
I presented this paper at the 22nd Bled eConference in June 2009. It is part of my thought process, to develop theoretical insights into BM adaptation/innovation.
This document describes a fuzzy logic-based decision support system to help business executives select appropriate e-business models. It discusses existing frameworks for classifying e-business models and their limitations. The proposed system uses fuzzy logic to capture executives' linguistic assessments of key business measures. It assesses each business dimension using fuzzy calculations and rules. A prototype was tested with positive feedback from business executives. The system aims to assist decision-making by narrowing the search for suitable e-business models.
The document summarizes a literature review on business models. It finds that definitions of business models lack consistency but are used to explain three phenomena: e-business/IT use in organizations, strategic issues like value creation and firm performance, and innovation/technology management. The review identifies common definitions for e-business models and components like value streams. It discusses strategic marketing in e-business and monetization through fee and free models.
This document provides a research proposal on using design processes and methods in large organizations like Volvo Group. It includes:
1. An overview of the research strategy which involves observing Volvo's current design situation, gathering case studies from other companies, and developing new design tools and methods to propose changes to Volvo's hierarchies.
2. A literature review on design management including challenges of implementing design in large companies and measuring its value.
3. An explanation of the framework including concepts like integrated design management and the role of design in corporations.
The proposal aims to create influence on Volvo's hierarchies to use design more effectively through redesigning relationships and decision making tools, and providing new ways for
The document outlines the standard format and components for a research thesis or publication, including an introduction, literature review, research methods, findings and discussions, and conclusions. It provides guidance on developing key elements such as establishing the need for research, defining the problem statement, developing research questions and objectives, and determining the research design and data collection methods. The overall purpose is to guide researchers on how to properly structure their work and methodology.
This document summarizes a research article that analyzes the process of organizational change for four Italian high-tech firms moving from closed to open innovation models. The article finds both commonalities and differences between high-tech and low-tech firms undergoing this transition. Specifically, it identifies that implementing open innovation requires deep organizational changes impacting structures, performance systems, roles, and knowledge management. The article contributes to understanding how firms can best manage this organizational change process to reduce resistance and time needed to complete the transition.
Accounting information systems_implementation_and_Biplob Babu
This document summarizes a research article about accounting information systems implementation and management accounting change. It discusses how new performance measurement solutions are implemented and impact accounting practices. The researchers studied an ongoing accounting information system project at a large Swedish university over two years. They found that while new systems trigger changes, priorities and objectives evolved over time, shaping what changes occurred in management accounting practices.
Business model adaptation (or innovation) as a dynamic capabilityAntonio Dottore
I presented this paper at the 22nd Bled eConference in June 2009. It is part of my thought process, to develop theoretical insights into BM adaptation/innovation.
This document describes a fuzzy logic-based decision support system to help business executives select appropriate e-business models. It discusses existing frameworks for classifying e-business models and their limitations. The proposed system uses fuzzy logic to capture executives' linguistic assessments of key business measures. It assesses each business dimension using fuzzy calculations and rules. A prototype was tested with positive feedback from business executives. The system aims to assist decision-making by narrowing the search for suitable e-business models.
The document summarizes a literature review on business models. It finds that definitions of business models lack consistency but are used to explain three phenomena: e-business/IT use in organizations, strategic issues like value creation and firm performance, and innovation/technology management. The review identifies common definitions for e-business models and components like value streams. It discusses strategic marketing in e-business and monetization through fee and free models.
This document provides a research proposal on using design processes and methods in large organizations like Volvo Group. It includes:
1. An overview of the research strategy which involves observing Volvo's current design situation, gathering case studies from other companies, and developing new design tools and methods to propose changes to Volvo's hierarchies.
2. A literature review on design management including challenges of implementing design in large companies and measuring its value.
3. An explanation of the framework including concepts like integrated design management and the role of design in corporations.
The proposal aims to create influence on Volvo's hierarchies to use design more effectively through redesigning relationships and decision making tools, and providing new ways for
The document outlines the standard format and components for a research thesis or publication, including an introduction, literature review, research methods, findings and discussions, and conclusions. It provides guidance on developing key elements such as establishing the need for research, defining the problem statement, developing research questions and objectives, and determining the research design and data collection methods. The overall purpose is to guide researchers on how to properly structure their work and methodology.
This document summarizes a research article that analyzes the process of organizational change for four Italian high-tech firms moving from closed to open innovation models. The article finds both commonalities and differences between high-tech and low-tech firms undergoing this transition. Specifically, it identifies that implementing open innovation requires deep organizational changes impacting structures, performance systems, roles, and knowledge management. The article contributes to understanding how firms can best manage this organizational change process to reduce resistance and time needed to complete the transition.
Accounting information systems_implementation_and_Biplob Babu
This document summarizes a research article about accounting information systems implementation and management accounting change. It discusses how new performance measurement solutions are implemented and impact accounting practices. The researchers studied an ongoing accounting information system project at a large Swedish university over two years. They found that while new systems trigger changes, priorities and objectives evolved over time, shaping what changes occurred in management accounting practices.
The document provides information about an enterprise systems and modelling course, including its goals, schedule, literature, teachers, and examination requirements. The overall goal of the course is for students to understand analysis, design, and use of intra- and inter-organizational enterprise information systems through enterprise modeling. Key activities include lectures, lessons, and a group project to design an information system for a startup home healthcare company using enterprise modeling techniques. Assessment includes a written exam, project assignment, and paper evaluation.
ORIGINAL ARTICLEBig data analytics capabilities a systema.docxaman341480
ORIGINAL ARTICLE
Big data analytics capabilities: a systematic literature
review and research agenda
Patrick Mikalef1 • Ilias O. Pappas1 • John Krogstie1 •
Michail Giannakos1
Received: 15 November 2016 / Revised: 3 July 2017 / Accepted: 12 July 2017 /
Published online: 15 July 2017
� Springer-Verlag GmbH Germany 2017
Abstract With big data growing rapidly in importance over the past few years,
academics and practitioners have been considering the means through which they
can incorporate the shifts these technologies bring into their competitive strategies.
To date, emphasis has been on the technical aspects of big data, with limited
attention paid to the organizational changes they entail and how they should be
leveraged strategically. As with any novel technology, it is important to understand
the mechanisms and processes through which big data can add business value to
companies, and to have a clear picture of the different elements and their interde-
pendencies. To this end, the present paper aims to provide a systematic literature
review that can help to explain the mechanisms through which big data analytics
(BDA) lead to competitive performance gains. The research framework is grounded
on past empirical work on IT business value research, and builds on the resource-
based view and dynamic capabilities view of the firm. By identifying the main areas
of focus for BDA and explaining the mechanisms through which they should be
leveraged, this paper attempts to add to literature on how big data should be
examined as a source of competitive advantage. To this end, we identify gaps in the
extant literature and propose six future research themes.
Keywords Big data � Dynamic capabilities � Resource-based view � Competitive
performance � IT strategy
& Patrick Mikalef
[email protected]
1
Norwegian University of Science and Technology, Trondheim, Norway
123
Inf Syst E-Bus Manage (2018) 16:547–578
https://doi.org/10.1007/s10257-017-0362-y
http://crossmark.crossref.org/dialog/?doi=10.1007/s10257-017-0362-y&domain=pdf
http://crossmark.crossref.org/dialog/?doi=10.1007/s10257-017-0362-y&domain=pdf
https://doi.org/10.1007/s10257-017-0362-y
1 Introduction
The application of big data in driving organizational decision making has attracted
much attention over the past few years. A growing number of firms are focusing
their investments on big data analytics (BDA) with the aim of deriving important
insights that can ultimately provide them with a competitive edge (Constantiou and
Kallinikos 2015). The need to leverage the full potential of the rapidly expanding
data volume, velocity, and variety has seen a significant evolution of techniques and
technologies for data storage, analysis, and visualization. However, there has been
considerably less research attention on how organizations need to change in order to
embrace these technological innovations, as well as on the business shifts they entail
(McAfee et al. .
ORIGINAL ARTICLEBig data analytics capabilities a systema.docxvannagoforth
ORIGINAL ARTICLE
Big data analytics capabilities: a systematic literature
review and research agenda
Patrick Mikalef1 • Ilias O. Pappas1 • John Krogstie1 •
Michail Giannakos1
Received: 15 November 2016 / Revised: 3 July 2017 / Accepted: 12 July 2017 /
Published online: 15 July 2017
� Springer-Verlag GmbH Germany 2017
Abstract With big data growing rapidly in importance over the past few years,
academics and practitioners have been considering the means through which they
can incorporate the shifts these technologies bring into their competitive strategies.
To date, emphasis has been on the technical aspects of big data, with limited
attention paid to the organizational changes they entail and how they should be
leveraged strategically. As with any novel technology, it is important to understand
the mechanisms and processes through which big data can add business value to
companies, and to have a clear picture of the different elements and their interde-
pendencies. To this end, the present paper aims to provide a systematic literature
review that can help to explain the mechanisms through which big data analytics
(BDA) lead to competitive performance gains. The research framework is grounded
on past empirical work on IT business value research, and builds on the resource-
based view and dynamic capabilities view of the firm. By identifying the main areas
of focus for BDA and explaining the mechanisms through which they should be
leveraged, this paper attempts to add to literature on how big data should be
examined as a source of competitive advantage. To this end, we identify gaps in the
extant literature and propose six future research themes.
Keywords Big data � Dynamic capabilities � Resource-based view � Competitive
performance � IT strategy
& Patrick Mikalef
[email protected]
1
Norwegian University of Science and Technology, Trondheim, Norway
123
Inf Syst E-Bus Manage (2018) 16:547–578
https://doi.org/10.1007/s10257-017-0362-y
http://crossmark.crossref.org/dialog/?doi=10.1007/s10257-017-0362-y&domain=pdf
http://crossmark.crossref.org/dialog/?doi=10.1007/s10257-017-0362-y&domain=pdf
https://doi.org/10.1007/s10257-017-0362-y
1 Introduction
The application of big data in driving organizational decision making has attracted
much attention over the past few years. A growing number of firms are focusing
their investments on big data analytics (BDA) with the aim of deriving important
insights that can ultimately provide them with a competitive edge (Constantiou and
Kallinikos 2015). The need to leverage the full potential of the rapidly expanding
data volume, velocity, and variety has seen a significant evolution of techniques and
technologies for data storage, analysis, and visualization. However, there has been
considerably less research attention on how organizations need to change in order to
embrace these technological innovations, as well as on the business shifts they entail
(McAfee et al. ...
This document proposes a subjective model with nine determinants to comprehensively measure firm performance: 1) profitability performance, 2) growth performance, 3) market value performance, 4) customer satisfaction, 5) employee satisfaction, 6) environmental audit performance, 7) corporate governance performance, and 8) social performance. The model was developed by reviewing previous research studies to minimize gaps between academic and practitioner assessments of firm performance. Researchers and practitioners can use this multidimensional subjective model to more accurately evaluate firm performance.
This document summarizes research on applying Kotter's change management model to implement a Customer Relationship Management (CRM) system. The research was a case study of an automation company that used Kotter's eight-stage model for the CRM implementation. The research found that while there was some success using the model, incorporating additional competencies could have improved outcomes. These competencies include skills for managing the change process as it relates to business intelligence tools. The research contributes to change literature by defining competencies important for change programs involving business intelligence systems, and how Kotter's model could be adapted to increase success for these types of changes.
The research proposal aims to examine the relationship between self-directed learning readiness and life satisfaction among older adults. It hypothesizes that higher levels of self-directed learning readiness will be correlated with greater life satisfaction. Both quantitative and qualitative data will be collected through surveys and interviews to assess self-directed learning readiness and life satisfaction among a sample of older adults.
A framework for the analysis of interview data from multiple field research s...Afzaal Ali
Anne Lillis is a Professor of Management Accounting and Head Department of Accounting and Finance, University of Melbourne, Melbourne, Victoria, Australia.
A Framework For The Evaluation Of Business Models And Its Empirical ValidationJustin Knight
This document proposes and empirically validates a framework for evaluating enterprise models. The framework consists of three categories for criteria: syntactic, semantic, and pragmatic analysis. Syntactic analysis examines the structural relationships and form of model elements. Semantic analysis considers the meaning and mapping of model elements to the real domain. Pragmatic analysis requires considering the context, use, and environment of the model. The framework is populated with evaluation criteria from various disciplines. As an empirical validation, metrics for eight criteria were calculated for fifteen enterprise models to test the framework's usefulness. While some composite quality scores were attempted, there is less confidence in their validity.
An Assessment of Project Portfolio Management Techniques on Product and Servi...iosrjce
The crises of product and service innovation in most organisations due to global competition and
the need for scientific research in the project portfolio management discipline were factors that motivated this
research. The purpose of this study is to investigate how project portfolio management(ppm) contributes to
product and service innovation. A questionnaire was developed to gather data to compare the PPM methods
used, PPM performance and resulting new product success measures in sixty Nigeria organisations in a diverse
range of service and manufacturing industries. The study findings indicated that PPM practices have a greater
impact in the new product and services success rate. Also, business strategy method result in better alignment
of the projects in the portfolio. This conclusion is supported by the 0.630 Pearson correlations at 0.000
significance between percentage of successful products and PPM performance level. The results reveal that for
better innovation outcomes, management should place a priority on developing and improving PPM.
Servitization and knowledge management ibm case studyLuna Leoni
This document summarizes Luna Leoni's Ph.D. thesis defense. The thesis examined how manufacturing firms can create and maintain competitive advantages through implementing servitization and knowledge management strategies. A literature review found these topics are under-researched. A case study of IBM identified five connections between servitization and knowledge management, which were used to develop a new model. The thesis contributes new understanding of servitization and identifies opportunities for further research on how knowledge management can facilitate servitization adoption in other contexts like Italian manufacturing firms.
Business process redesignproject success the role ofsocTawnaDelatorrejs
Business process redesign
project success: the role of
socio-technical theory
Junlian Xiang
Ted Rogers School of Management, Ryerson University, Toronto, Canada, and
Norm Archer and Brian Detlor
DeGroote School of Business, McMaster University, Hamilton, Canada
Abstract
Purpose – The purpose of this paper is to seek to advance business process redesign (BPR) project
research through the generation and testing of a new research model that utilizes formative constructs
to model complex BPR project implementation issues. Instead of looking at management principles,
the paper examines the activities of improving business processes from the project perspective.
Design/methodology/approach – A survey of 145 managers and executives from medium and
large-sized USA and Canadian companies was used to validate the model.
Findings – The model, based on socio-technical theory, includes three implementation components
(change management, process redesign, and information and communication technology
infrastructure improvement), and links the effects of these components to BPR project outcomes.
The empirical findings indicated that all three implementation components had a significant impact
on BPR project success, with change management having the greatest effect. Interestingly, the results
also showed that productivity improvement was no longer the main focus of companies carrying out
BPR projects; instead, improvement in operational and organizational quality was more important.
Research limitations/implications – The main limitation of this study is its generalizability
with respect to company size and organizational culture. The sample in this study was drawn from
medium- and large-sized companies in Canada and the USA, but small-sized organizations were
excluded from this study due to their distinct features (e.g. superior flexibility or ability to reorient
themselves quickly). Also, this study controlled the variable of organizational culture by limiting
respondents to Canada and US companies. It would be very interesting to investigate BPR project
implementations in other countries where the organizational working culture may be different.
Practical implications – Based on the findings of this study, BPR practitioners can refer to the three
BPR project implementation components and then prioritize and sequence the tasks in a BPR project
to achieve their preset BPR goals.
Originality/value – This is the first study which utilizes formative constructs to validate the
important BPR project components.
Keywords Change management, Business process management, Business process redesign,
Information and communication technology infrastructure, Socio-technical theory
Paper type Research paper
1. Introduction
Business processes have drawn a great deal of attention from industrial practitioners
and academic researchers since the 1990s because of their great potential for improving the
efficiency and effectiveness of organizations. The roots of busines ...
Fintech platform failure rates are disproportionately high, with an estimated 90% failure rate over many years. There is a lack of public information on effective strategies for fintech platforms to survive and succeed. Conventional strategy recommendations may also be less applicable in the fintech context. The authors conducted a literature review of 293 papers on fintech strategies and identified gaps. They developed a theoretical lens based on six strategic logics and evaluated current literature through this lens. Their findings provide a more nuanced understanding of strategic options for fintech platforms to balance differentiation from rivals with meeting stakeholder expectations in changing environments.
This document summarizes a research paper that empirically links the value of intellectual capital and intellectual property to firm performance. The researchers conducted a regression analysis using survey data from managers in the pharmaceutical industry. They found that including intellectual property in models linking intellectual capital to firm performance enhances the statistical validity of the models and their relevance for management. Specifically, intellectual property provides a more tangible component of intellectual capital that can be more easily valued. Considering intellectual property alongside human, structural, and relational capital components provides a more complete picture of how intellectual assets impact company performance.
This document discusses the role and skills needed for Six Sigma Black Belts. It provides examples of projects Black Belts have led, including analyzing website download times, understanding customer retention, and reducing equipment delivery cycle times. The document aims to define what Black Belts do and the technical skills required. It recommends a curriculum for Black Belts and compares it to requirements for Certified Quality Engineers and a master's in applied statistics. Other issues around developing Black Belts like candidate selection and mentoring are also discussed.
Employee Engagement within the IT Industry Momo Scott
This document is a 2288 word consulting report that addresses employee engagement within a multinational IT business. The report aims to provide recommendations on whether the client should participate in an industry-wide employee engagement survey and what engagement means within their context. Through a literature review, the report finds that participation in the survey could help the client better understand their workforce and contribute to research in the field. Key factors that influence engagement are identified, and it is recommended that the client participate conditionally to address issues like absenteeism and turnover.
Choose a Research TopicHiba Al MehdiSchool of Business, NorthcJinElias52
Choose a Research Topic
Hiba Al Mehdi
School of Business, Northcentral University
BUS-7100: Scholarly Literature Review
Dr. Richard Thompson
October 3, 2021
Richard C. Thompson, Ph.D.
Grade – 9.5/10
10/6/2021
Assignment: Choose a Research Topic
Week 7 Requirements
Feedback
The problem statement is between 250-300 words. It describes the gap in the literature or the problem found in the research. It is something that has not been solved. A problem statement is used to describe what the researcher intends to solve. Include the following items in your draft:
I see you changed your topic since Week 5 – this is acceptable and I think the topic is clearer as well.
See comment on formatting of your Problem Statement and need for supporting research.
See comments on Purpose Statement.
See comments on your Theoretical Framework.
I look forward to your revisions in Week 8’s assignment
1. Write a problem statement with no more than 250 words.
1. Write a purpose statement using the directions below.
1. Include two or three paragraphs about a theory or conceptual framework.
1. Add your annotated bibliography from previous work.
From the dissertation template, use the following points to write a purpose statement: Begin with a succinct purpose statement that identifies the study method, design, and overarching goal: “The purpose of this [identify research methodology] [identify research design] study is to [identify the goal of the dissertation that directly reflects and encompasses the research questions that will follow].”
1. Indicate how the study is a logical, explicit research response to the stated problem and the research questions that will follow.
1. Continue with a brief and clear step-by-step overview of how the study will be (proposal) or was (manuscript) conducted.
1. Identify the variables/constructs, materials/instrumentation, and analysis.
1. Identify the target population and sample size that will be needed (proposal) or was obtained (manuscript).
Length: 10-12 pages total, not including title and reference pages.
Include a minimum of seven scholarly resources.
Work is free of spelling, punctuation, grammar, & word usage errors. APA was used for citations and references.
Running head: DRAFT OF RESEARCH TOPIC 2
Business Performance Risks Caused by Outsourcing of Information Technology.
The information technology (IT) growth has resulted in the rise of transaction demand by consumers and businesses. The majority of the organization's technical teams are ever-present to solve any emerging needs. Following rampant business needs growth, organizations are on a mission to keep the source and demand of particular information technology functions intact. The world's globalization has changed the production mode of enterprises from insourcing to outsourcing. The management of cost and time management efficiency are the determiners of the organization's business performance.
Furthermore, several factors ...
Choose a research topic hiba al mehdischool of business, northcnand15
The document provides feedback on a student's draft assignment on choosing a research topic. The feedback comments on the problem statement, purpose statement, theoretical framework, and annotated bibliography. It recommends revising the problem statement to better indicate what is already known from prior research. It also suggests describing how the theoretical framework of transaction cost analysis and integrated systems theory will be applied to the specific research problem. The student is asked to incorporate the feedback into a revised assignment for the following week.
The relationship between generic strategies and organizational performance: A...AI Publications
The main purpose of this research is to examine the relationship between generic strategies and organizational performance in selected furniture companies in Kurdistan.The researcher used quantitative research method to analyze the relationship between generic strategies and organizational performance of furniture companies in Kurdistan. The researcher printed and distributed 100 questionnaires, but received only 76 questionnaires from participants. Accordingly the sample size of this study is 76 unitsThe findings of this study revealed that the three generic strategies (cost strategy, differentiation strategy and focus strategy) have positive relationship with organizational performance in selected furniture companies in Kurdistan. A research could be completed in different businesses to see if similar outcomes will be gotten. This research likewise recommends that an exploration study could be done to decide factors impacting successful execution of effective strategy in the business.
Mustafa Degerli - 2010 - Annotated Bibliography - IS 720 Research Methods in ...Dr. Mustafa Değerli
This document provides annotations for 10 research papers related to project management and information systems. The papers cover a range of topics including the evolving role of the Chief Information Officer over 25 years, different types of Project Management Offices, integrating project knowledge, assessing maturity levels in project management across industries, examining Project Management Offices as organizational innovations, and factors that contribute to effective project management. The annotations provide brief summaries of each paper's purpose and conclusions.
More Related Content
Similar to A_Framework_for_Understanding_and_Analysing_eBusin.pdf
The document provides information about an enterprise systems and modelling course, including its goals, schedule, literature, teachers, and examination requirements. The overall goal of the course is for students to understand analysis, design, and use of intra- and inter-organizational enterprise information systems through enterprise modeling. Key activities include lectures, lessons, and a group project to design an information system for a startup home healthcare company using enterprise modeling techniques. Assessment includes a written exam, project assignment, and paper evaluation.
ORIGINAL ARTICLEBig data analytics capabilities a systema.docxaman341480
ORIGINAL ARTICLE
Big data analytics capabilities: a systematic literature
review and research agenda
Patrick Mikalef1 • Ilias O. Pappas1 • John Krogstie1 •
Michail Giannakos1
Received: 15 November 2016 / Revised: 3 July 2017 / Accepted: 12 July 2017 /
Published online: 15 July 2017
� Springer-Verlag GmbH Germany 2017
Abstract With big data growing rapidly in importance over the past few years,
academics and practitioners have been considering the means through which they
can incorporate the shifts these technologies bring into their competitive strategies.
To date, emphasis has been on the technical aspects of big data, with limited
attention paid to the organizational changes they entail and how they should be
leveraged strategically. As with any novel technology, it is important to understand
the mechanisms and processes through which big data can add business value to
companies, and to have a clear picture of the different elements and their interde-
pendencies. To this end, the present paper aims to provide a systematic literature
review that can help to explain the mechanisms through which big data analytics
(BDA) lead to competitive performance gains. The research framework is grounded
on past empirical work on IT business value research, and builds on the resource-
based view and dynamic capabilities view of the firm. By identifying the main areas
of focus for BDA and explaining the mechanisms through which they should be
leveraged, this paper attempts to add to literature on how big data should be
examined as a source of competitive advantage. To this end, we identify gaps in the
extant literature and propose six future research themes.
Keywords Big data � Dynamic capabilities � Resource-based view � Competitive
performance � IT strategy
& Patrick Mikalef
[email protected]
1
Norwegian University of Science and Technology, Trondheim, Norway
123
Inf Syst E-Bus Manage (2018) 16:547–578
https://doi.org/10.1007/s10257-017-0362-y
http://crossmark.crossref.org/dialog/?doi=10.1007/s10257-017-0362-y&domain=pdf
http://crossmark.crossref.org/dialog/?doi=10.1007/s10257-017-0362-y&domain=pdf
https://doi.org/10.1007/s10257-017-0362-y
1 Introduction
The application of big data in driving organizational decision making has attracted
much attention over the past few years. A growing number of firms are focusing
their investments on big data analytics (BDA) with the aim of deriving important
insights that can ultimately provide them with a competitive edge (Constantiou and
Kallinikos 2015). The need to leverage the full potential of the rapidly expanding
data volume, velocity, and variety has seen a significant evolution of techniques and
technologies for data storage, analysis, and visualization. However, there has been
considerably less research attention on how organizations need to change in order to
embrace these technological innovations, as well as on the business shifts they entail
(McAfee et al. .
ORIGINAL ARTICLEBig data analytics capabilities a systema.docxvannagoforth
ORIGINAL ARTICLE
Big data analytics capabilities: a systematic literature
review and research agenda
Patrick Mikalef1 • Ilias O. Pappas1 • John Krogstie1 •
Michail Giannakos1
Received: 15 November 2016 / Revised: 3 July 2017 / Accepted: 12 July 2017 /
Published online: 15 July 2017
� Springer-Verlag GmbH Germany 2017
Abstract With big data growing rapidly in importance over the past few years,
academics and practitioners have been considering the means through which they
can incorporate the shifts these technologies bring into their competitive strategies.
To date, emphasis has been on the technical aspects of big data, with limited
attention paid to the organizational changes they entail and how they should be
leveraged strategically. As with any novel technology, it is important to understand
the mechanisms and processes through which big data can add business value to
companies, and to have a clear picture of the different elements and their interde-
pendencies. To this end, the present paper aims to provide a systematic literature
review that can help to explain the mechanisms through which big data analytics
(BDA) lead to competitive performance gains. The research framework is grounded
on past empirical work on IT business value research, and builds on the resource-
based view and dynamic capabilities view of the firm. By identifying the main areas
of focus for BDA and explaining the mechanisms through which they should be
leveraged, this paper attempts to add to literature on how big data should be
examined as a source of competitive advantage. To this end, we identify gaps in the
extant literature and propose six future research themes.
Keywords Big data � Dynamic capabilities � Resource-based view � Competitive
performance � IT strategy
& Patrick Mikalef
[email protected]
1
Norwegian University of Science and Technology, Trondheim, Norway
123
Inf Syst E-Bus Manage (2018) 16:547–578
https://doi.org/10.1007/s10257-017-0362-y
http://crossmark.crossref.org/dialog/?doi=10.1007/s10257-017-0362-y&domain=pdf
http://crossmark.crossref.org/dialog/?doi=10.1007/s10257-017-0362-y&domain=pdf
https://doi.org/10.1007/s10257-017-0362-y
1 Introduction
The application of big data in driving organizational decision making has attracted
much attention over the past few years. A growing number of firms are focusing
their investments on big data analytics (BDA) with the aim of deriving important
insights that can ultimately provide them with a competitive edge (Constantiou and
Kallinikos 2015). The need to leverage the full potential of the rapidly expanding
data volume, velocity, and variety has seen a significant evolution of techniques and
technologies for data storage, analysis, and visualization. However, there has been
considerably less research attention on how organizations need to change in order to
embrace these technological innovations, as well as on the business shifts they entail
(McAfee et al. ...
This document proposes a subjective model with nine determinants to comprehensively measure firm performance: 1) profitability performance, 2) growth performance, 3) market value performance, 4) customer satisfaction, 5) employee satisfaction, 6) environmental audit performance, 7) corporate governance performance, and 8) social performance. The model was developed by reviewing previous research studies to minimize gaps between academic and practitioner assessments of firm performance. Researchers and practitioners can use this multidimensional subjective model to more accurately evaluate firm performance.
This document summarizes research on applying Kotter's change management model to implement a Customer Relationship Management (CRM) system. The research was a case study of an automation company that used Kotter's eight-stage model for the CRM implementation. The research found that while there was some success using the model, incorporating additional competencies could have improved outcomes. These competencies include skills for managing the change process as it relates to business intelligence tools. The research contributes to change literature by defining competencies important for change programs involving business intelligence systems, and how Kotter's model could be adapted to increase success for these types of changes.
The research proposal aims to examine the relationship between self-directed learning readiness and life satisfaction among older adults. It hypothesizes that higher levels of self-directed learning readiness will be correlated with greater life satisfaction. Both quantitative and qualitative data will be collected through surveys and interviews to assess self-directed learning readiness and life satisfaction among a sample of older adults.
A framework for the analysis of interview data from multiple field research s...Afzaal Ali
Anne Lillis is a Professor of Management Accounting and Head Department of Accounting and Finance, University of Melbourne, Melbourne, Victoria, Australia.
A Framework For The Evaluation Of Business Models And Its Empirical ValidationJustin Knight
This document proposes and empirically validates a framework for evaluating enterprise models. The framework consists of three categories for criteria: syntactic, semantic, and pragmatic analysis. Syntactic analysis examines the structural relationships and form of model elements. Semantic analysis considers the meaning and mapping of model elements to the real domain. Pragmatic analysis requires considering the context, use, and environment of the model. The framework is populated with evaluation criteria from various disciplines. As an empirical validation, metrics for eight criteria were calculated for fifteen enterprise models to test the framework's usefulness. While some composite quality scores were attempted, there is less confidence in their validity.
An Assessment of Project Portfolio Management Techniques on Product and Servi...iosrjce
The crises of product and service innovation in most organisations due to global competition and
the need for scientific research in the project portfolio management discipline were factors that motivated this
research. The purpose of this study is to investigate how project portfolio management(ppm) contributes to
product and service innovation. A questionnaire was developed to gather data to compare the PPM methods
used, PPM performance and resulting new product success measures in sixty Nigeria organisations in a diverse
range of service and manufacturing industries. The study findings indicated that PPM practices have a greater
impact in the new product and services success rate. Also, business strategy method result in better alignment
of the projects in the portfolio. This conclusion is supported by the 0.630 Pearson correlations at 0.000
significance between percentage of successful products and PPM performance level. The results reveal that for
better innovation outcomes, management should place a priority on developing and improving PPM.
Servitization and knowledge management ibm case studyLuna Leoni
This document summarizes Luna Leoni's Ph.D. thesis defense. The thesis examined how manufacturing firms can create and maintain competitive advantages through implementing servitization and knowledge management strategies. A literature review found these topics are under-researched. A case study of IBM identified five connections between servitization and knowledge management, which were used to develop a new model. The thesis contributes new understanding of servitization and identifies opportunities for further research on how knowledge management can facilitate servitization adoption in other contexts like Italian manufacturing firms.
Business process redesignproject success the role ofsocTawnaDelatorrejs
Business process redesign
project success: the role of
socio-technical theory
Junlian Xiang
Ted Rogers School of Management, Ryerson University, Toronto, Canada, and
Norm Archer and Brian Detlor
DeGroote School of Business, McMaster University, Hamilton, Canada
Abstract
Purpose – The purpose of this paper is to seek to advance business process redesign (BPR) project
research through the generation and testing of a new research model that utilizes formative constructs
to model complex BPR project implementation issues. Instead of looking at management principles,
the paper examines the activities of improving business processes from the project perspective.
Design/methodology/approach – A survey of 145 managers and executives from medium and
large-sized USA and Canadian companies was used to validate the model.
Findings – The model, based on socio-technical theory, includes three implementation components
(change management, process redesign, and information and communication technology
infrastructure improvement), and links the effects of these components to BPR project outcomes.
The empirical findings indicated that all three implementation components had a significant impact
on BPR project success, with change management having the greatest effect. Interestingly, the results
also showed that productivity improvement was no longer the main focus of companies carrying out
BPR projects; instead, improvement in operational and organizational quality was more important.
Research limitations/implications – The main limitation of this study is its generalizability
with respect to company size and organizational culture. The sample in this study was drawn from
medium- and large-sized companies in Canada and the USA, but small-sized organizations were
excluded from this study due to their distinct features (e.g. superior flexibility or ability to reorient
themselves quickly). Also, this study controlled the variable of organizational culture by limiting
respondents to Canada and US companies. It would be very interesting to investigate BPR project
implementations in other countries where the organizational working culture may be different.
Practical implications – Based on the findings of this study, BPR practitioners can refer to the three
BPR project implementation components and then prioritize and sequence the tasks in a BPR project
to achieve their preset BPR goals.
Originality/value – This is the first study which utilizes formative constructs to validate the
important BPR project components.
Keywords Change management, Business process management, Business process redesign,
Information and communication technology infrastructure, Socio-technical theory
Paper type Research paper
1. Introduction
Business processes have drawn a great deal of attention from industrial practitioners
and academic researchers since the 1990s because of their great potential for improving the
efficiency and effectiveness of organizations. The roots of busines ...
Fintech platform failure rates are disproportionately high, with an estimated 90% failure rate over many years. There is a lack of public information on effective strategies for fintech platforms to survive and succeed. Conventional strategy recommendations may also be less applicable in the fintech context. The authors conducted a literature review of 293 papers on fintech strategies and identified gaps. They developed a theoretical lens based on six strategic logics and evaluated current literature through this lens. Their findings provide a more nuanced understanding of strategic options for fintech platforms to balance differentiation from rivals with meeting stakeholder expectations in changing environments.
This document summarizes a research paper that empirically links the value of intellectual capital and intellectual property to firm performance. The researchers conducted a regression analysis using survey data from managers in the pharmaceutical industry. They found that including intellectual property in models linking intellectual capital to firm performance enhances the statistical validity of the models and their relevance for management. Specifically, intellectual property provides a more tangible component of intellectual capital that can be more easily valued. Considering intellectual property alongside human, structural, and relational capital components provides a more complete picture of how intellectual assets impact company performance.
This document discusses the role and skills needed for Six Sigma Black Belts. It provides examples of projects Black Belts have led, including analyzing website download times, understanding customer retention, and reducing equipment delivery cycle times. The document aims to define what Black Belts do and the technical skills required. It recommends a curriculum for Black Belts and compares it to requirements for Certified Quality Engineers and a master's in applied statistics. Other issues around developing Black Belts like candidate selection and mentoring are also discussed.
Employee Engagement within the IT Industry Momo Scott
This document is a 2288 word consulting report that addresses employee engagement within a multinational IT business. The report aims to provide recommendations on whether the client should participate in an industry-wide employee engagement survey and what engagement means within their context. Through a literature review, the report finds that participation in the survey could help the client better understand their workforce and contribute to research in the field. Key factors that influence engagement are identified, and it is recommended that the client participate conditionally to address issues like absenteeism and turnover.
Choose a Research TopicHiba Al MehdiSchool of Business, NorthcJinElias52
Choose a Research Topic
Hiba Al Mehdi
School of Business, Northcentral University
BUS-7100: Scholarly Literature Review
Dr. Richard Thompson
October 3, 2021
Richard C. Thompson, Ph.D.
Grade – 9.5/10
10/6/2021
Assignment: Choose a Research Topic
Week 7 Requirements
Feedback
The problem statement is between 250-300 words. It describes the gap in the literature or the problem found in the research. It is something that has not been solved. A problem statement is used to describe what the researcher intends to solve. Include the following items in your draft:
I see you changed your topic since Week 5 – this is acceptable and I think the topic is clearer as well.
See comment on formatting of your Problem Statement and need for supporting research.
See comments on Purpose Statement.
See comments on your Theoretical Framework.
I look forward to your revisions in Week 8’s assignment
1. Write a problem statement with no more than 250 words.
1. Write a purpose statement using the directions below.
1. Include two or three paragraphs about a theory or conceptual framework.
1. Add your annotated bibliography from previous work.
From the dissertation template, use the following points to write a purpose statement: Begin with a succinct purpose statement that identifies the study method, design, and overarching goal: “The purpose of this [identify research methodology] [identify research design] study is to [identify the goal of the dissertation that directly reflects and encompasses the research questions that will follow].”
1. Indicate how the study is a logical, explicit research response to the stated problem and the research questions that will follow.
1. Continue with a brief and clear step-by-step overview of how the study will be (proposal) or was (manuscript) conducted.
1. Identify the variables/constructs, materials/instrumentation, and analysis.
1. Identify the target population and sample size that will be needed (proposal) or was obtained (manuscript).
Length: 10-12 pages total, not including title and reference pages.
Include a minimum of seven scholarly resources.
Work is free of spelling, punctuation, grammar, & word usage errors. APA was used for citations and references.
Running head: DRAFT OF RESEARCH TOPIC 2
Business Performance Risks Caused by Outsourcing of Information Technology.
The information technology (IT) growth has resulted in the rise of transaction demand by consumers and businesses. The majority of the organization's technical teams are ever-present to solve any emerging needs. Following rampant business needs growth, organizations are on a mission to keep the source and demand of particular information technology functions intact. The world's globalization has changed the production mode of enterprises from insourcing to outsourcing. The management of cost and time management efficiency are the determiners of the organization's business performance.
Furthermore, several factors ...
Choose a research topic hiba al mehdischool of business, northcnand15
The document provides feedback on a student's draft assignment on choosing a research topic. The feedback comments on the problem statement, purpose statement, theoretical framework, and annotated bibliography. It recommends revising the problem statement to better indicate what is already known from prior research. It also suggests describing how the theoretical framework of transaction cost analysis and integrated systems theory will be applied to the specific research problem. The student is asked to incorporate the feedback into a revised assignment for the following week.
The relationship between generic strategies and organizational performance: A...AI Publications
The main purpose of this research is to examine the relationship between generic strategies and organizational performance in selected furniture companies in Kurdistan.The researcher used quantitative research method to analyze the relationship between generic strategies and organizational performance of furniture companies in Kurdistan. The researcher printed and distributed 100 questionnaires, but received only 76 questionnaires from participants. Accordingly the sample size of this study is 76 unitsThe findings of this study revealed that the three generic strategies (cost strategy, differentiation strategy and focus strategy) have positive relationship with organizational performance in selected furniture companies in Kurdistan. A research could be completed in different businesses to see if similar outcomes will be gotten. This research likewise recommends that an exploration study could be done to decide factors impacting successful execution of effective strategy in the business.
Mustafa Degerli - 2010 - Annotated Bibliography - IS 720 Research Methods in ...Dr. Mustafa Değerli
This document provides annotations for 10 research papers related to project management and information systems. The papers cover a range of topics including the evolving role of the Chief Information Officer over 25 years, different types of Project Management Offices, integrating project knowledge, assessing maturity levels in project management across industries, examining Project Management Offices as organizational innovations, and factors that contribute to effective project management. The annotations provide brief summaries of each paper's purpose and conclusions.
Similar to A_Framework_for_Understanding_and_Analysing_eBusin.pdf (20)
1. See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/244415673
A Framework for Understanding and Analysing eBusiness Models
Article · July 2008
CITATIONS
117
READS
1,696
2 authors:
Some of the authors of this publication are also working on these related projects:
IS and BP simulation View project
Crowdsourcing - Crowdfunding View project
Adamantia Pateli
Ionian University
71 PUBLICATIONS 2,489 CITATIONS
SEE PROFILE
George Giaglis
University of Nicosia
189 PUBLICATIONS 4,765 CITATIONS
SEE PROFILE
All content following this page was uploaded by George Giaglis on 07 January 2014.
The user has requested enhancement of the downloaded file.
2. 16th
Bled eCommerce Conference
eTransformation
Bled, Slovenia, June 9 - 11, 2003
A Framework for Understanding and Analysing
eBusiness Models
Adamantia G. Pateli
ELTRUN: The E-Business Center
Athens University of Economics and Business,
47A Evelpidon Street, 11362, Athens, Greece
Tel: +30-210 8203663, Fax: +30-210 8203664
pateli@aueb.gr
George M. Giaglis
ELTRUN: The E-Business Center
Athens University of Economics and Business,
47A Evelpidon Street, 11362, Athens, Greece
Tel: +30-210 8203658, Fax: +30-210 8203664
giaglis@aueb.gr
Abstract
As the evolution of e-business technology has passed from the early phase of hype and
innovation to the mature phase of adoption and use, the research interest of both the
academic and business communities is shifting to investigating opportunities for market
exploitation of e-business technologies. As a result, the debates around established e-
business models, as well as the way to achieve business model innovation, are ever
increasing. However, while many researchers and practitioners are contemplating
business models, there is a distinct lack of appropriate theoretical tools in the literature to
structure and codify the extant knowledge in the area. The existing research
contributions are featured by a great degree of diversity, which is due to the existence of
3. Adamantia G. Pateli, George M. Giaglis
a variety of reasons and motives for making research on business models. Thus, some
researchers try to define business models, others to specify their primary elements, while
others have proceeded further to introduce methodologies for developing, changing, or
assessing business models. In this paper, we draw on a great number of research
contributions in the field of e-business models to propose a framework that further
decomposes the research area of Business Models into specific research sub-domains.
The proposed framework is then applied to organise and review existing research
contributions under each sub-domain.
1. Introduction
There is an ever-growing literature on business models by academics, research centers
and consultants. Some speak about “Internet business models”, some others about “e-
Business models” or “Business models on the Web”, and others speak generally about
business models. Regardless of the term used, most agree that the accelerating growth
of Information and Communication Technologies has raised the interest for transforming
traditional business models or developing new ones that better exploit the opportunities
enabled by technological innovations. That is why within the last few years, the
discussions about business models and the impact of the Internet on them have become
more topical.
The motivation for studying business models naturally varies depending on the research
interests of the investigators, their viewpoint, background, and study objectives. Being
aware of these factors helps at better conceiving the complementarities, overlaps, and
potential conflicts of opinions in the area. An exemplary look into some of the most
prominent and often cited works in the area surfaces a number of objectives for studying
business models:
1. Understanding the key elements and mechanisms in a specific business domain
and their relationships (Osterwalder & Pigneur, 2002).
2. Communicating and sharing the understanding of a business model among
business or technology stakeholders (Gordijn & Akkermans, 2001c).
3. Specifying valid requirements for the Information Systems that support the
business model (Eriksson & Penker, 2000).
4. Identifying options for changing and improving the current business model
(Eriksson & Penker, 2000), thus facilitating change (Osterwalder & Pigneur, 2002).
330
4. A Framework for Understanding and Analysing eBusiness Models
5. Experimenting with innovative business concepts to determine if current
business models can be easily adapted to new concepts (Eriksson & Penker, 2000),
as well as to assess the viability of new business initiatives (Weill & Vitale, 2001).
In this paper we present the results of a review analysis that aimed at examining extant
research on Business Models (BMs) and classifying it under an explanatory framework
that can be used as a guiding vehicle for future research in the area. In the following
section we outline our research design and introduce a novel framework that categorizes
research in BMs into six research sub-domains. These sub-domains are then used in
Section 3 to structure a concise review of the major works researching BMs to date. The
paper concludes with an analysis of gaps in the literature and suggestions for further
research based on our findings.
2. Towards Defining a Research Framework
In an attempt to explore the research area of business models and identify the research
challenges it entails, we realised the lack of an underlying coding mechanism that would
understanding of the area and contribute to the identification of its primary concepts and
elementary constructs. This conclusion informed our choice of a research design, which
initiated through an exploratory study of the Business Models literature. Through a
pattern recognition process, a number of common research patterns among the various
contributions were subsequently identified. The final set of patterns resulted from
reviewing contributions included in a great number of books, papers, articles, and reports
that discussed business models and identifying the primary object of research hidden
behind each contribution. Based on these patterns, we were then able to construct an
explanatory framework that classifies research on Business Models into the following six
research sub-domains.
A. Definitions. Research in this domain concerns defining the purpose, scope, and
primary elements of a business model, as well as exploring its relationships with
other business concepts, such as strategy and business processes. Definitions
constitute a strong focus of research in the Business Model field, especially in the
earlier stages of research in the area. In fact, 13 out of the 22 research contributions
reviewed in Table 1 include a definition of BM.
B. Components. Research in this domain is concerned with analysing the BM concept
to further decompose it into its fundamental constructs. The specification of BM
components ranks second in frequency (following the BM definition domain), with 12
331
5. Adamantia G. Pateli, George M. Giaglis
out of 22 contributions referring to BM components. However, BM components
assume the leading position when only recent works are considered. This is
somewhat expected and indicates a maturation of research in the field that naturally
shifts from earlier definitional research to more detailed ontological analyses.
C. Taxonomies. Research in this domain relates to possible categorizations of BMs into
a number of typologies based on various criteria. A relatively significant portion of
work (9 out of 22 contributions) has been performed in this field.
D. Representations. This domain proposes a number of possible instruments or/and
representational formalisms for visualizing the primary components of a BM and their
interrelationships. Compared to the previous domains, relatively less research has
been conducted on specifying and describing such tools (only 4 out of 22
contributions relate to this domain).
E. Change Methodologies. This domain includes research efforts that focus on
formulating guidelines, describing steps, and specifying actions to be taken for either
changing business models to adapt to a business or technology transformation,
usually in terms of innovation, or choosing an appropriate business model, usually
from a set of available ones. This is a relatively new area with intense interest for
further investigation but only a few references (6 out of 22 contributions).
F. Evaluation Models. This domain is concerned with identifying criteria for either
assessing the feasibility and profitability of business models or evaluating a business
model against alternative or best practice cases. This is also a relatively more recent
research domain a few researchers (4 out of 22) having pursued focused work on it.
Table 1 illustrates the extent to which 22 often cited works in the area of BMs address
the aforementioned six sub-domains. It is evident that, though most authors do touch
upon more than one sub-domain, there exists no work that manages to synthesize all
sub-domains into a thorough and comprehensive analysis of Business Models. This
finding might imply the still immature stage of BM research and the need for additional
work focused on the synthesis (as opposed to the extant prevailing focus on analysis) of
our knowledge on BMs into more unified theoretical instruments.
332
7. Adamantia G. Pateli, George M. Giaglis
To further elaborate on how the sub-domains relate to each other and how BM research
has developed over time, Figure 1 classifies the six sub-domains on a two-dimensional
matrix. The two dimensions represent:
a) Integration (Y-axis): Illustrates the degree to which each sub-domain builds
upon research conducted in other domains of the Business Model area. In other
words, Integration measures the degree to which a specific sub-domain is
relatively independent and foundational in nature (Low Integration) or whether it
is strongly related to and dependent on a prior understanding gained in other
sub-domains (High Integration). For instance, towards specifying a BM
Taxonomy, most researchers focus on a set of criteria, which are primarily
identical to specific BM Components. Similarly, Change Methodologies are based
on: a) specification of BM Components in order to identify those that are more
liable to change, b) specification of Representation tools that will be used for
representing both the current and the new business model, thus indicating the
changes made, and c) identification of the general Taxonomy to which the
business model belongs, since this categorization may help identifying changes
that are mainly affecting a specific group of business models.
b) Timeliness (X-axis): Measures the degree to which a sub-domain is currently
considered worthy of further investigation based on a) the number of existing
research contributions in the field, b) the declared interest of researchers for
pursuing further research in the field in the future. In other words, Timeliness
differentiates between relatively more mature and well-researched sub-domains
(Low Timeliness) and those sub-domains that have emerged more recently and
are still perceived by the research community to constitute significant challenges
in BM research (High Timeliness).
The arrows in Figure 1 are meant to signify the interrelationships that exist between
sub-domains based on an analysis of both the Integration (i.e. sub-domains building on
each other) and the Timeliness (i.e. sub-domains emerging after others) criteria.
334
8. A Framework for Understanding and Analysing eBusiness Models
Components
Taxonomies
Evaluation Models
Representations
Change
Methodologies
Definitions
Low
High
Integration
Timeliness High
Low
Figure 1. A Framework for Structuring BM Research Sub-Domains
3. Using the Framework for Reviewing Existing Research
In this section we will use the framework proposed above to structure the presentation of
extant research on Business Models into the six sub-domains identified. During the
course of reviewing each aspect, a number of useful conclusions are reached, which are
subsequently revisited and discussed in the concluding section of the paper.
3.1. Definitions
Researchers have proposed several definitions that explain what the essence and
purpose of a business model is. Linder & Cantrell (2000) define a business model as “the
organisation’s core logic for creating value”. Magretta (2002) simply views it as a “story
that explains how an enterprise works”. Nevertheless, she also goes one step further
discriminating the Business Model concept from the strategy concept. Thus, she explains
that business models describe, as a system, how the pieces of a business fit together,
but do not factor in one critical dimension of performance, usually competition, as
strategy does.
335
9. Adamantia G. Pateli, George M. Giaglis
Other researchers adopt the approach of defining business models by specifying their
primary elements, and possibly their interrelationships. The initial and perhaps most often
cited definition of this category is provided by Timmers (1998). He defines a business
model as “an architecture for the product, service and information flows, including a
description of the various business actors and their roles; and a description of the
potential benefits for the various actors; and description of the sources of revenues”.
Being primarily influenced by Timmers, Weill and Vitale (2001) define a business model
as “a description of the roles and relationships among a firm’s consumers, customers,
allies and suppliers that identifies the major flows of product, information, and money,
and the major benefits to participants”.
Two other researchers, Osterwalder & Pigneur (2002), conceive the business model in a
quite different way. They view it as the missing link between strategy and business
processes. More specifically, they consider a business model as the “conceptual and
architectural implementation (blueprint) of a business strategy (that) represents the
foundation for the implementation of business processes and information systems”. Their
working definition of business model is as follows: “A business model is nothing else than
a description of the value a company offers to one or several segments of customers and
the architecture of the firm and its network of partners for creating, marketing and
delivering this value and relationship capital, in order to generate profitable and
sustainable revenues streams.”
Tapscott et al. (1998) introduce the notion of a new generation of business models that
encompass not only the organisation itself but also its “fellow travellers”. Enabled by
network technologies, organisations are encouraged to move from an introvert “M-form”
to the “E-Form” that is based on the forming of business ecosystems. The major
dimensions of strategic action that an E-form organisation must integrate are: customers,
markets, products, processes, organisations (structures and relationships), shareholders
and financing, social values, and government policy. Two years later, the same authors
refer to a business innovation model in the form of ‘business webs (b-webs)’, which are
“inventing new value propositions, transforming the rules of competition, and mobilizing
people and resources to unprecedented levels of performance. A b-web is a distinct
system of suppliers, distributors, commerce service providers, and customers that use the
Internet for their primary business communications and transactions” (Tapscott et al.
2000). Although Tapscott et al. (2000) do not provide a specific definition of Business
Models, their approach emphasizes on the feature of “network”, which they claim will be
prevalent in almost all future Business Models. That is mainly due to the emergence of
ICT applications that enable business networking in value chains and nets. Their
336
10. A Framework for Understanding and Analysing eBusiness Models
approach is an example of how technology’s evolution is changing the definition and
conception of primary business constructs, such as the Business Model.
Concluding, some researchers perceive the Business Model as a purely business concept
that explains the logic of making business for a firm (Timmers, 1998; Linder & Cantrell,
2000; Petrovic, 2001; Rappa, 2001), while some others consider it as a link between
strategy, business processes, and information systems (Nilsson et al., 1999; Osterwalder
& Pigneur, 2002). The difference between these two interpretations of Business Models
concerns the relationship of Business Model with the concepts of Strategy, Business
Processes, and Technology. While in the first interpretation the three concepts are
included in the description of Business Model, the second interpretation considers them
as inter-linked components set in different levels of a pyramid construct (Figure 2). In
this case, a business model is considered as the conceptual and architectural
implementation (blueprint) of a business strategy and represents the foundation for the
implementation of business processes and information systems.
Figure 2. Business Model Definition Framework
3.2. Components
The emphasis in more recent literature is gradually shifting away from Business Model
definitions, and instead focuses on decomposing business models into their “atomic”
elements, also referred as “components”, “functions”, “attributes”, or “pillars” of business
models (Afuah & Tucci, 2001; Hamel, 2000; Petrovic et al., 2001; Weill & Vitale, 2001;
Rayport et al., 2001). Unfortunately, the differences in terms used propagate to create a
multitude of approaches towards identifying Business Model components, thus not
contributing to an overall progress of knowledge generation in this domain. The prevalent
approaches followed for defining BM components are:
337
11. Adamantia G. Pateli, George M. Giaglis
Decomposing a business initiative into levels of analysis, from the more general to
the more concrete (from e-business implementation to atomic business models), and
identifying primary components for each analysis level (Weill & Vitale, 2001).
Identifying ways to represent a business and defining key information required for
each representation way (Weill & Vitale, 2001).
Decomposing a Business Model into sub-models that link together to build a Business
Model (Petrovic et al., 2001; Linder & Cantrell, 2000).
Identifying principal issues or major components of a BM and decomposing them to
sub-components (Hamel, 2000; Osterwalder & Pigneur, 2002).
Defining vertical and horizontal dimensions of Business Models (Alt & Zimmermann,
2001).
In an attempt to combine and codify the elements identified by the majority of the
aforementioned works, we have designed a generic framework (Figure 3) that
synthesizes a number of standard components identified by the majority of researchers in
this field. This conceptual framework consists a revision and extension of Alt and
Zimmermann’s (2001) proposed construct for the six generic elements of Business
Models. The proposed framework consists of two principal dimensions/frames:
a) The horizontal frame, including all the primary components of a business
model, such as Mission (Strategic Objectives), Target Market (scope and market
segment), Value Proposition (product/ service offering), Resources (capabilities,
assets), Key Activities (intra- and inter-organisational processes), Cost and Revenue
Model (cost and revenue streams, pricing policy), Value Chain/Net (alliances and
partnerships).
b) The vertical frame, including the underlying components of BMs and the issues
that outline the wider business and social environment of a business model’s
implementation, such as Market Trends, Regulation, and Technology.
338
12. A Framework for Understanding and Analysing eBusiness Models
Technology
Regulation
Market
Trends
Value Proposition
Mission
Value Chain/ Net
Cost and Revenue Model
Key Activities
Resources
Target Market
Figure 3. Business Model Components Framework
3.3. Taxonomies
A great deal of research has been directed towards classifying business models and
grouping them into specific categories. The business models belonging to the same
category usually share some common characteristics, such as the same pricing policy or
the same customer relationship model. The taxonomy frameworks of Business Models
that are presented in the literature differentiate based on two factors:
a) Criteria posed for classifying Business Models,
b) Objects classified, whether they are entire business initiatives (such as Amazon,
eBay, etc), possibly combining multiple business models (Timmers, 1998; Rappa,
2001), or atomic business models that can be incorporated into an ebusiness
initiative (Weill & Vitale, 2001).
The most common sets of criteria are:
Revenue and Position in Value Chain (Rappa, 2001),
Interaction Pattern and Value Chain Integration (Timmers, 1998),
Functional Integration and Degree of Innovation (Timmers, 1998),
Core Activities and Price – Value Balance (Linder & Cantrell, 2000),
Economic control (both hierarchical and self-organizing) and value
integration (Tapscott et al., 2000),
Sourcing: What businesses buy (manufacturing versus operating inputs) against
how they buy (systematic versus spot sourcing) (Kaplan & Sawhney, 2000).
339
13. Adamantia G. Pateli, George M. Giaglis
The existence of multiple sets of criteria suggests (as in the case of BM components) that
there are no established and commonly agreed to criteria for classifying business models,
but some criteria, such as Value Integration, may be used in various taxonomy
frameworks. Moreover, most taxonomy frameworks seem to be narrowly defined for
Internet e-Business models. A notable exception is found in Tapscott et al. (2000), who
introduce a rather generic taxonomy of Business Models that could apply not only to
Internet but also to any type of electronic business featured by a network structure.
3.4. Representations
The fragmentation of research and ad hoc analysis that we have witnessed in the
Components and Taxonomies domains is also evident when considering BM
representations and design tools. Business Models are usually represented by a mixture
of informal textual, verbal, and ad hoc graphical representations. The researchers of
business models use different terms for referring to tools that they use for describing
their business models.
Tapscott et al. (2000) use the term “Value Map” for depicting how a b-web operates, or
will operate in the future. The value map depicts:
All key classes of participants (partners, customers, suppliers)
Value Exchanges (tangible and intangible benefits, knowledge)
Gordijn and Akkermans (2001a; 2001b; 2001c) adopt a “value viewpoint” in order to
build an ebusiness ontology called as e3
-value ontology. To represent an e-business
value model, they use a lightweight ontology consisting of interrelated core concepts, and
they utilize a scenario technique, called Use Case Maps (Gordijn and Akkermans, 2001a).
A lightweight ontology contains a limited set of concepts and relations (Jasper & Uschold,
1999). The e3
-value ontology includes the following concepts: Actor, Value Object,
Value Port, Value Interface, Value Exchange, Value Offering, Market Segment, Composite
Actor, and Value Activity.
Weill and Vitale (2001) introduce the term “E-Business Model Schematics” as a tool
for analysing e-business initiatives and plotting the migration from traditional business to
its e-business counterpart. The E-Business Model Schematics highlight three (3) critical
aspects of the business model:
1. Participants. Firms of interest, customers, suppliers and allies.
2. Relationships. Either electronic or primary relationships.
340
14. A Framework for Understanding and Analysing eBusiness Models
3. Flows. Money, information, product or service flows.
Osterwalder & Pigneur (2002) introduce the concept of an “e-Business Model
Ontology”, that is the conceptualization and formalization into elements, relationships,
vocabulary, and semantics of the essential subjects in the e-business model domain. e-
BMO is structured into several levels of decomposition with increasing depth and
complexity. The first level of decomposition concerns the four main pillars of a Business
Model, which are thought to be: Product Innovation, Customer Relationship,
Infrastructure Management, and Financials. All these concepts are further decomposed
and associated to each other through bilateral relationships.
Summarizing, we can note that the majority of the tools applied for designing and
representing business models focus on relationships, objects (flows) exchanged, actors,
and processes–activities. Thus, they do not illustrate all components of Business Models,
but only those that refer to BM’s main components, as they are defined by Timmers
(1998). An exception may stand for Osterwalder & Pigneur (2002) who suggest using the
concepts and relationships specified in their proposed e-Business Model Ontology (e-
BMO) in order to design an ebusiness model.
3.5. Change Methodologies
The necessity of changing the way in which firms do business and provide value in order
to survive and flourish in a high-tech market has been recognized by both academics and
managers. Nevertheless, there is no established methodology for understanding and
structuring the change of a firm’s business model to an e-business one. In the last few
years, as the knowledge and interest of firms in the Business Models area increase, more
and more research and consulting work has been focused on defining change
methodologies.
Tapcott et al. (2000), having stressed the importance of following a strategy for
designing a new type of business model based on a network structure, are the first to
identify six (6) steps for changing a current BM to a b-web type BM and provide
guidelines for doing so.
Linder and Cantrell (2000) provide a general framework rather than a methodology,
which however cannot be used to guide the change process. Their contribution is based
on a specific identification of components. This however means that if a different set of
components is adopted, then the framework will not work or will be subject to changes.
Nevertheless, Linder and Cantrell (2000) have made a considerable contribution by
341
15. Adamantia G. Pateli, George M. Giaglis
defining a set of change models, classified based on the level of change introduced by
the new business model.
Petrovic et al. (2001) have made a worthwhile research attempt to introduce such a
methodology grounded on a well-established theoretical framework. However, the steps
of their methodology are described in quite general terms, and no guidelines or advice is
provided for the core part of this methodology, that is making the change.
Finally, Papakyriakopoulos et al. (2001)’s contribution refers to a step-by-step
methodology for transforming a Business Model, thus responding to the need for
changing the firm’s technology infrastructure. The primary limitations of such a
contribution concern the driver of the change, which is considered to be a technology
innovation rather than a business opportunity. The analysis is also focused on industry-
level (as opposed to firm level) change only and the authors argue in favour of defining
new market roles during the transition of current to future business models.
3.6. Evaluation Models
The last sub-domain of the BM field addresses the evaluation and assessment of business
models. From the analysis of contributions in the field, it is evident that the definition of
assessment criteria is naturally dependent on the purpose of evaluation. Four primary
evaluation purposes have been identified:
Comparison with competitors in Business Model terms,
Assessment of alternative Business Models for implementation by the same firm,
Identification of risks and potential pressure areas for a firm pursuing innovation,
Evaluation of an innovative Business Model in terms of feasibility and profitability.
To measure the potential of a business model, Hamel (2000) has identified four factors
that determine a business model’s wealth potential:
• Efficiency. The extent to which the business concept is an efficient way of delivering
customer benefits;
• Uniqueness. The extent to which the business concept is unique.
• Fit. The degree of fit among the elements of the business concept; and
• Profit Boosters. The degree to which the business concept exploits profit boosters
(increasing returns, competitor lock-out, strategic economies, strategic flexibility),
which have the potential to generate above-average returns.
Gordijn and Akkermans (2001c) evaluate the economic feasibility of an idea in
quantitative terms, based on an assessment of the value of objects for all actors
342
16. A Framework for Understanding and Analysing eBusiness Models
involved. Feasibility of a business model means that all actors involved can make a profit
or increase their economic utility. Their evaluation approach is to take into account the
net in and out flows of value objects. More specifically, this approach creates profit
sheets based on either the actor or activity level. Value objects in the profit sheet are
assigned a value expressed in monetary units. In such an approach, the use of “what-if
scenarios” can help companies make a sensitivity analysis for the business model under
consideration with respect to financial parameters such as customer behaviour. In many
cases, this sensitivity analysis can potentially be of greater interest than the numbers
themselves.
Afuah and Tucci (2001) define three levels for measuring the performance of a business
model:
a) Measures of profitability that includes comparison of a firm’s profitability to that of
competitors using profitability measures, such as earnings and cash flows.
b) Profitability prediction, which is concerned with comparing a firm’s profit margins,
revenue market share, and revenue growth rate with those of industry competitors.
c) Business model component attributes, which provides benchmarks for appraising
each one of the identified components of a business model.
Weill and Vitale (2001) refer to key factors that have an influence on the profitability and
viability of e-business models. Their focus is on the following factors:
1. Level of ownership for the customer relationship, data and transaction
2. Firm’s access to key information about customers, products, markets and costs
3. Conflicts raising from combination of atomic models to e-business initiatives, such as
Channel Conflict, Competency Conflict, Infrastructure Conflict, and Information
Conflict.
Summarising, we can observe that the evaluation criteria domain is perhaps the less
mature BM research area. The majority of the criteria proposed in the literature are
derived from generic theory and are mostly driven by financial indicators (for example,
profitability and margins) that are very difficult, if possible at all, to measure ex ante.
However, this result is not surprising. The BM evaluation domain is inherently complex
and to some extent dependent on other domains such as change methodologies. It is
therefore rather expected that knowledge generation will proceed at a slower pace here,
following prerequisite developments of understanding and maturation of other domains.
343
17. Adamantia G. Pateli, George M. Giaglis
4. Conclusions and Further Research
In this paper we have presented the results of a bottom-up review approach for defining
an explanatory framework of research in the area of Business Models. The analysis,
further to its internal value as it has provided us with an analytic lens through which
current and future research on e-business models can be looked at, systematized, and
analysed, has also yielded some important findings.
Firstly, it has shown that the BM field has now matured to a degree that allows it to
move beyond the initial stages (which were mostly concerned with elementary
definitional works) to more in-depth analyses that aim at providing toolkits for
representing, analysing, assessing, and changing business models. Thus, we expect the
majority of future research in the area of BMs to move towards the upper-right quadrant
of the framework introduced in Figure 1 (High Integration / High Timeliness research
sub-domains).
Secondly, the analysis has shown that the research community is yet to invent a common
underlying theoretical basis on which directed future research efforts could be built. The
absence of such a common basis renders some of the works incompatible with each
other (and perhaps even inconsistent altogether), mostly un-reusable, and often
repetitive. The framework we propose in this paper may be valuable as a classificatory
mechanism for placing the extant knowledge blocks in the area of BM analysis so that
future efforts can build on these blocks and generate new knowledge in a more robust
and co-ordinated fashion.
Moreover, the framework can provide a starting point towards a unified theoretical
advancement in the area of Business Models that will strengthen the foundations of the
area and address its reference disciplines and theories that are somewhat missing from
the majority of ongoing research. For example, we have seen very little to link today’s
research on Business Models to earlier theories of industrial organisation, network
economics, social network theory, and so on. We contend that unless such a theoretical
link is established, the BM field will not be able to distinguish itself as a distinct research
domain, perhaps independent of the eBusiness and eCommerce specificities.
The framework we have proposed in this paper is amongst the first outcomes of a larger
research effort aiming at:
a) Organising existing research work in the area of BMs;
b) Reviewing research work in a systematic and robust fashion;
344
18. A Framework for Understanding and Analysing eBusiness Models
c) Identifying knowledge and practice gaps in each aspect;
d) Identifying opportunities for future research contributions;
This paper was mostly concerned with satisfying the first two objectives, however it
provides the background knowledge that is needed for working towards meeting the third
and fourth objectives as well. In the course of analysing extant research on BMs, we
were able to identify and pinpoint gaps and opportunities for further research, both on
the individual sub-domains and (perhaps more importantly) on the intersections between
them. Such avenues for further research might include:
a) Work towards a unified theory of Business Models, drawing on a carefully
selected set of reference disciplines from Management Science, Economics, and
Social Sciences.
b) Work towards synthesizing BM Components with Representation Tools that will
aid understanding and communicating BM essence; a stream of research in this
area could address the question of whether specific representation formalisms
are indeed needed for Business Models or whether extant mechanisms commonly
used in business will suffice.
c) Work towards continually validating and testing the applicability of the framework
as a means of organizing BM research, especially in the course of future
developments that will undoubtedly occur and will perhaps render the framework
outdated (for example, in view of recent developments in Mobile Business and
mBusiness Models).
d) Work towards establishing robust Evaluation Criteria and developing targeted
Change Methodologies as these have shown to be still highly under-research sub-
domains in the BM field.
345
19. Adamantia G. Pateli, George M. Giaglis
References
Afuah, A. and Tucci, C. (2001) Internet Business Models and Strategies, McGraw-Hill
International Editions, New York.
Alt, R. and Zimmermann, H. (2001) Introduction to Special Section – Business Models,
Electronic Markets, 11, 1, pp. 3–9.
Amit, R. and Zott, C. (2001) Value Creation in e-business, Strategic Management Journal,
22, pp. 493-520.
Applegate, L.M. (2001) E-business Models: Making sense of the Internet business
landscape, In G. Dickson, W. Gary, and G. DeSanctis (Eds.), Information
Technology and the future enterprise: New models for managers, Upper Saddle
River, N.J.: Prentice Hall.
Auer, C. and Follack, M. (2002) Using Action Research for Gaining Competitive Advantage
out of the Internet’s Impact on Existing Business Models, In the Proceedings of
the 15th
Bled Electronic Commerce Conference – eReality: Constructing the
eEconomy, Bled, Slovenia, June 17 – 19, 2002, pp. 767-784.
Chesbrough, H. and Rosenbloom, R.S. (2001) The Role of the Business Model in
capturing value from Innovation: Evidence from XEROX Corporation’s Technology
Spinoff Companies, To be submitted to Industrial and Corporate Change.
[Available online at: http://www.hbs.edu/dor/papers2/0001/01-002.pdf
(accessed date: 27/02/2002)]
Elliot, S. (Ed.) (2002) Electronic Commerce: B2C strategies and models, Chichester, UK:
John Wiley.
Eriksson, H. and Penker, M. (2000) Business Modeling with UML – Business Patterns at
Work, John-Wiley & Sons, New York.
Gordijn, J. and Akkermans, J.M. (2001a) A Conceptual Value Modeling Approach for e-
Business Development", In the Proceedings of K-CAP 2001, First International
Conference on Knowledge Capture, Workshop Knowledge in e-Business, pp. 29-
36.
Gordijn, J. and Akkermans, J.M. (2001b) Ontology-Based Operators for e-Business Model
De- and Re-construction, In the Proceedings of the First International Conference
on Knowledge Capture, October 21-23, Canada, pp. 60-67.
Gordijn, J. and Akkermans, J.M. (2001c) Designing and Evaluating E-Business Models,
IEEE Intelligent Systems, 16, 4, pp.11-17.
Hamel, G. (2000) Leading the Revolution, Harvard Business School Press, Boston.
346
20. A Framework for Understanding and Analysing eBusiness Models
Hawkins, R. (2001) The “Business Model” as a Research Problem in Electronic Commerce,
STAR (Socio-economic Trends Assessment for the digital Revolution) IST Project,
Issue Report No. 4, July 2001, SPRU – Science and Technology Policy Research.
Jasper, R. and Uschold, M. (1999) A framework for understanding and classifying
ontology applications, In B. Gaines, R. Cremer, and M. Musen, editors,
Proceedings 12th Int. Workshop on Knowledge Acquisition, Modelling, and
Management KAW’99 (16-21 October 1999, Banff, Alberta, Canada), volume I,
pages 4–9–1 — 4–9–20, University of Calgary, SRDG Publications.
Kaplan, S. and Sawhney, M. (2000) E-hubs: The New B2B Marketplaces, Harvard
Business Review, May – June, p. 97 – 103.
Kraemer, K. L., Dedrick, J., and Yamashiro, S. (2000) Redefining and extending the
business model with information technology: Dell Computer Corporation, The
Information Society, 16, pp. 5-21.
Linder, J.C. and Cantrell, S. (2000) Changing Business Models: Surveying the Landscape,
Institute for Strategic Change, Accenture.
Magretta, J. (2002) Why Business Models Matter, Harvard Business Review, May, pp. 86-
92.
Mahadevan, B. (2000) Business Models for Internet-based e-Commerce: An anatomy,
California Management Review, 42(4), pp. 55-69.
Methlie, L.B. (2001) New platforms for commerce: Integration and collaboration in the
electronic marketplace (in Norwegian). In S. Ulset (Ed.). Fra summetone til
informasjonsportal – SNF arbok 2001, Bergen, NO: Fagbokforlaget.
Nilsson, A.G., Tolis, C., Nellborn, C. (1999) Perspectives on Business Modelling –
Understanding and Changing Organisations, Springer, Berlin.
Osterwalder, A. and Pigneur, Y. (2002) An eBusiness Model Ontology for Modeling
eBusiness, In the Proceedings of the 15th
Bled Electronic Commerce Conference –
eReality: Constructing the eEconomy, Bled, Slovenia, June 17 – 19, 2002, pp. 75-
91.
Papakiriakopoulos, D. Poulymenakou, A. Doukidis, G. (2001) Building e-Business Models:
An Analytical Framework and Development Guidelines, In the Proceedings of
14th Bled Electronic Commerce Conference, June 25-26, 2001, Bled, Slovenia.
Petrovic, O., Kittl, C. Teksten, R.D. (2001) Developing Business Models for eBusiness, In
the Proceedings of the International Conference on Electronic Commerce 2001,
Vienna, Austria, October 31 – November 4.
Rappa, M. (2001) Managing the digital enterprise – Business models on the Web,
[Available online at: http://ecommerce.ncsu.edu/business_models.html
(accessed date: 27/01/2003)]
Rayport, J.F., Jaworski, B.J. (2001) e-Commerce, McGraw-Hill, New York.
347
21. Adamantia G. Pateli, George M. Giaglis
Tapscott, D., Lowi, A. Ticoll, D. (1998) Blueprint to the Digital Economy: Creating Wealth
in the era of e-Business, McGraw-Hill, New York.
Tapscott, D., Lowi, A., Ticoll, D. (2000) Digital Capital – Harnessing the Power of
Business Webs, Harvard Business School Press, Boston.
Timmers, P. (1998) Business Models for Electronic Markets, Journal on Electronic
Markets, 8(2), p. 3-8.
Weill, P., Vitale, M.R. (2001) Place to Space: Migrating to eBusiness Models, Harvard
Business School Press, Boston.
348
View publication stats