Lazazzara / Ricciardi / Za Exploring Digital Ecosystems

Organizational and Human Challenges
1. Auflage 2019
ISBN: 978-3-030-23665-6
Verlag: Springer Nature Switzerland
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 451 Seiten

Reihe: Business and Management (R0)

The recent surge of interest in digital ecosystems is not only transforming the business landscape, but also poses several human and organizational challenges. Due to the pervasive effects of the transformation on firms and societies alike, both scholars and practitioners are interested in understanding the key mechanisms behind digital ecosystems, their emergence and evolution. In order to disentangle such factors, this book presents a collection of research papers focusing on the relationship between technologies (e.g. digital platforms, AI, infrastructure) and behaviours (e.g. digital learning, knowledge sharing, decision-making). Moreover, it provides critical insights into how digital ecosystems can shape value creation and benefit various stakeholders. The plurality of perspectives offered makes the book particularly relevant for users, companies, scientists and governments. The content is based on a selection of the best papers - original double-blind peer-reviewed contributions - presented at the annual conference of the Italian chapter of the AIS, which took place in Pavia, Italy in October 2018.

Alessandra Lazazzara is an Assistant Professor of Organization and Human Resource Management at the University of Milan. She holds a PhD in Organizational Development from the University of Milano - Bicocca and she has been visiting scholar at The Netherlands Interdisciplinary Demographic Institute (The Netherlands). Her research interests focus on job crafting, e-HRM, and diversity and inclusion. She is involved in several national and international research projects with a wide range of companies and institutions. Alessandra teaches at both undergraduate and graduate levels in the area of Organization Studies, Training & Development, and Organizational Behavior. She has authored several publications in national and international journals, co-edited two books of the Springer LNISO series and is editorial board member of The International Journal of Human Resource Management. Alessandra serves as vice president of ItAIS, the Italian Chapter of the Association for Information Systems and is a board member of ASSIOA, the Association of Italian Organization Studies Academics. Francesca Ricciardi is an Associate Professor of Business Organization at the University of Turin, Italy, and a visiting lecturer of Organizations and Communities at the University of Lund, Sweden. Previously she served at the University of Verona, University of Genoa, and the Catholic University of the Sacred Heart, Brescia. She regularly teaches at several postgraduate and master programs. Her research interests span themes such as inter- and intra-organizational relationships, adaptive organizational learning, smart cities and communities, and the innovative management of the commons. She has published more than 60 studies on these subjects, including international journal articles, monographs, book chapters, and conference papers. She is co-founder and scientific director of the Smart Commons Lab. Before completely dedicating herself to research and teaching, she worked as a consultant, gaining experience in the fields of facility management, project management, and executive search. Stefano Za is an Assistant Professor of Organization Studies and Information Systems at University 'G. d'Annunzio' of Chieti-Pescara (Italy), Adjunct Professor at LUISS University, Rome, and visiting professor at the EM Strasbourg Business School. He has been Secretary of the Italian Chapter of AIS (ItAIS) since 2008, and member of program committees and reviewer for national and international conferences and journals in the domains of Information Systems and Organization Studies. His main research interest is the analysis and design of digital artefacts and organizational systems. He is currently focused on digital innovations and business transformation affecting people and organizations in the digital ecosystem. He was editor for several books and special issues of journals. He has also published a book and papers on international conferences, book series and journals.

Autoren/Hrsg.

Lazazzara, Alessandra

Ricciardi, Francesca

Za, Stefano

Inhaltsverzeichnis

1;Preface;6
2;Contents;7
3;Introduction to Digital Ecosystem;11
3.1;1 Human Communities in Digital Ecosystems;12
3.2;2 Part II: Human Resources and Learning in Digital Ecosystems;13
3.3;3 Part III: Processes and IS Design in Digital Ecosystems;14
3.4;4 Part IV: Organizing in Digital Ecosystems;16
3.5;References;17
4;Part I Human Communities in Digital Ecosystems;18
5;Rethinking Romanian and Italian Smart Cities as Knowledge-Based Communities;19
5.1;1 Introduction;20
5.2;2 Developing Cities as Smart and Knowledge-Based Communities;21
5.2.1;2.1 Rediscovering Knowledge-Based Cities;21
5.2.2;2.2 Promoting Smart Cities as Communities;22
5.3;3 Research Methodology;23
5.4;4 Main Results;25
5.4.1;4.1 A Knowledge Management Perspective on the Smart Cities Model;25
5.4.2;4.2 The Performance of the Romanian and Italian Smart Cities;25
5.5;5 Conclusion and Further Research;28
5.6;References;30
6;Are the Elderly Averse to Technology?;32
6.1;1 Introduction;32
6.2;2 Investigation;34
6.3;3 Findings;35
6.4;4 Discussion;37
6.5;5 Conclusion;38
6.6;References;39
7;Value Co-creation in Online Communities: A Preliminary Literature Analysis;40
7.1;1 Introduction;41
7.2;2 Research Framework and Data Collection;42
7.3;3 Data Analysis;43
7.3.1;3.1 Descriptive Analysis;44
7.3.2;3.2 The Analysis of Citations and Topics Connections;48
7.4;4 Preliminary Discussion and Future Steps;50
7.5;References;51
8;Disability and Home Automation: Insights and Challenges Within Organizational Settings;54
8.1;1 Introduction;55
8.2;2 Home Automation for Supporting People with Disability;56
8.3;3 Disability and Home Automation: The State of Art in the Research;58
8.4;4 Disability and Home Automation: The State of Art in the Practice;68
8.5;5 Concluding Remarks;71
8.6;References;71
9;Efforts Towards Openness and Transparency of Data: A Focus on Open Science Platforms;74
9.1;1 Introduction;74
9.2;2 Literature Review;76
9.2.1;2.1 Open Science Paradigm;76
9.2.2;2.2 Existing Classifications of Transparency of Open Science Platforms;78
9.3;3 Proposed Model for Assessing Platforms’ Openness and Transparency;80
9.4;4 Discussion and Primary Conclusions;81
9.5;References;88
10;Millennials, Information Assessment, and Social Media: An Exploratory Study on the Assessment of Critical Thinking Habits;92
10.1;1 Introduction;92
10.2;2 Theoretical Framework;93
10.2.1;2.1 Critical Thinking and Millennials;94
10.3;3 Research Design;94
10.4;4 Data Analysis;95
10.4.1;4.1 The Profile of Respondents;96
10.4.2;4.2 Critical Thinking Skills: Descriptive Statistics;96
10.4.3;4.3 Self-assessment of Critical Thinking Skills;98
10.4.4;4.4 Exploratory Analysis;100
10.5;5 Discussion;102
10.6;6 Conclusions;102
10.7;References;103
11;Part II Human Resources and Learning in Digital Ecosystems;105
12;Grasping Corporate Identity from Social Media: Analysis of HR Consulting Companies;106
12.1;1 Introduction: Corporate Identity and Social Media;107
12.2;2 Theoretical Framework;108
12.3;3 Research Design;110
12.4;4 Results;110
12.4.1;4.1 Choice of Platform;110
12.4.2;4.2 Choice of Content;113
12.4.3;4.3 Engagement;114
12.4.4;4.4 Interaction;115
12.5;5 Discussion and Conclusions;116
12.6;Appendix 1;118
12.7;Appendix 2;119
12.8;Appendix 3;121
12.9;Appendix 4;122
12.10;References;123
13;Managing Intellectual Capital Inside Online Communities of Practice: An Integrated Multi-step Approach;126
13.1;1 Introduction;127
13.2;2 Theoretical Background;127
13.2.1;2.1 Communities of Practice;127
13.2.2;2.2 Intellectual Capital;128
13.3;3 A Four-Step Methodology;129
13.4;4 Discussion of Findings;132
13.4.1;4.1 The Nominal Group Technique;132
13.4.2;4.2 The Focus Groups with the Governance;132
13.4.3;4.3 The Focus Groups with the Members;133
13.4.4;4.4 Corrective Actions and the Improvement Strategy;135
13.5;5 Conclusions and Further Insights;135
13.6;References;137
14;How Do We Learn Today and How Will We Learn in the Future Within Organizations? Digitally-Enhanced and Personalized Learning Win;140
14.1;1 Introduction;140
14.2;2 Research on Learning Within Organizations: “Why”, “Who”, and “How”;141
14.3;3 Methods;142
14.4;4 Results;143
14.4.1;4.1 The Meaning of Learning: Present Versus Future;143
14.4.2;4.2 Learning Models: Present Versus Future;147
14.4.3;4.3 Learning Methods: Present Versus Future;150
14.5;5 Conclusions;151
14.6;References;152
15;Understanding the Relationship Between Intellectual Capital and Organizational Performance: The Role of e-HRM and Performance Pay;155
15.1;1 Introduction;156
15.2;2 Theoretical Framework and Hypotheses;157
15.2.1;2.1 Intellectual Capital and Organizational Performance in the RBV Perspective;157
15.2.2;2.2 The Moderating Role of e-HRM and Performance Pay;158
15.3;3 Methodology and Results;159
15.3.1;3.1 Sample and Procedure;159
15.3.2;3.2 Variables;160
15.3.3;3.3 Analysis and Results;161
15.4;4 Discussion and Conclusion;164
15.5;References;167
16;Information and Communication Technologies Usage for Professional Purposes, Work Changes and Job Satisfaction. Some Insights from Europe;169
16.1;1 Introduction;169
16.2;2 Theoretical Background;171
16.2.1;2.1 Work Change and Job Satisfaction;171
16.2.2;2.2 The Mediating Role of ICT Usage;171
16.2.3;2.3 The Job Resources’ Moderation Effect;172
16.3;3 Empirical Analysis;174
16.3.1;3.1 Method;174
16.3.2;3.2 Analysis;174
16.3.3;3.3 Results;176
16.4;4 Conclusions, Limitations and Further Research;178
16.5;References;180
17;(Digital) Learning Models and Organizational Learning Mechanisms: Should Organizations Adopt a Single Learning Model or Multiple Ones?;182
17.1;1 Introduction;182
17.2;2 Organizational Learning Mechanisms (OLMs);184
17.3;3 Learning Models;184
17.4;4 Methods;185
17.5;5 Results;186
17.5.1;5.1 Learning Is a Key Driver for Attraction, Retention, and Engagement;186
17.5.2;5.2 The Use of Learning Models;187
17.5.3;5.3 Face-to-Face Versus Online Versus Blended Learning Models: Differences with Regards to Satisfaction, Enjoyment, and OLMs;187
17.5.4;5.4 Single Learning Model Versus Multiple Learning Models: Differences with Regards to Satisfaction, Enjoyment, and OLMs;188
17.6;6 Conclusions;191
17.7;References;193
18;Part III Processes and IS Design in Digital Ecosystems;195
19;Meta Principles of Technology Accessibility Design for Users with Learning Disabilities: Towards Inclusion of the Differently Enabled;196
19.1;1 Introduction;196
19.1.1;1.1 Motivation;197
19.2;2 Approach;198
19.3;3 Background;198
19.3.1;3.1 Context of People with LD;199
19.3.2;3.2 Technologies, Interfaces, Usability and Inclusion;199
19.3.3;3.3 Legislation for Accessibility of Web-Based Interfaces;200
19.4;4 Findings and Discussion;201
19.4.1;4.1 Principles and Guidelines for Accessible Designs;201
19.4.2;4.2 State of the Research on Accessible Designs for People with LD;202
19.4.3;4.3 Accessibility Design Principles for Users with LD;203
19.5;5 Conclusion;206
19.6;References;207
20;Business Process Analysis and Change Management: The Role of Material Resource Planning and Discrete-Event Simulation;211
20.1;1 Introduction and Related Work;211
20.2;2 The Methodological Framework;213
20.3;3 The Case Study;214
20.4;4 Scenario Analysis;218
20.4.1;4.1 Improve Molding Schedule (S1);219
20.4.2;4.2 Full Time Schedules (S2);219
20.5;5 Conclusions;220
20.6;References;221
21;A Simulation-Driven Approach to Decision Support in Process Reorganization: A Case Study in Healthcare;222
21.1;1 Introduction and Related Work;223
21.2;2 The Methodological Framework;224
21.2.1;2.1 The RBPM Methodology;224
21.2.2;2.2 Optimization, Compliance and Risk in Healthcare Processes;225
21.3;3 The Blood Bank Case Study;226
21.3.1;3.1 Acceptance Process: Compliance Analysis;227
21.3.2;3.2 Acceptance Process: The As-is Model;227
21.3.3;3.3 Acceptance Process: Risks Analysis;229
21.3.4;3.4 Acceptance Process: Optimization;230
21.4;4 Conclusions;232
21.5;References;233
22;How to Rate a Physician?—A Framework for Physician Ratings and What They Mean;235
22.1;1 Introduction;235
22.2;2 Literature Review;236
22.2.1;2.1 Factors Influencing Patient Satisfaction;236
22.2.2;2.2 Physician Rating Websites;238
22.3;3 Research Model;238
22.4;4 Research Method;240
22.5;5 Results;241
22.6;6 Discussion and Implications;242
22.6.1;6.1 Empirical Findings;242
22.6.2;6.2 Theoretical Implications;243
22.6.3;6.3 Practical Implications;244
22.7;7 Limitations and Further Research;245
22.8;8 Conclusion;245
22.9;Appendix;245
22.10;References;247
23;Last Mile Logistics in Smart Cities: An IT Platform for Vehicle Sharing and Routing;249
23.1;1 Introduction;249
23.2;2 State of the Art and Empirical Background;251
23.3;3 Objectives and Methodology;252
23.3.1;3.1 Objectives;252
23.3.2;3.2 Methodology;252
23.4;4 Preliminary Results;255
23.5;5 Discussion and Conclusions;255
23.6;Appendix: Optimization Algorithm Details;256
23.7;References;257
24;Digital Transformation Projects Maturity and Managerial Competences: A Model and Its Preliminary Assessment;259
24.1;1 Introduction and Motivations;259
24.1.1;1.1 About Competences;261
24.1.2;1.2 Research Questions;262
24.2;2 Background;263
24.2.1;2.1 Technology Maturity Models Compared;263
24.2.2;2.2 CIO and CDO Roles, Responsibilities, Tasks and Goals: What About Competencies?;265
24.3;3 A Digital Business Transformation Project Maturity Model for Managerial Competences;267
24.3.1;3.1 Model Outline;267
24.3.2;3.2 Pilot Assessment;268
24.4;4 Conclusions;269
24.5;References;269
25;Reporting Some Marginal Discourses to Root a De-design Approach in IS Development;271
25.1;1 Introduction;272
25.2;2 Opposing Stories of Modernist Design;273
25.3;3 The De-design Paralogy;275
25.3.1;3.1 Zen-Sign;275
25.3.2;3.2 Immanent Design;276
25.3.3;3.3 Meta-Design and Underdesign;277
25.3.4;3.4 Undesign;278
25.4;4 Discussion;280
25.4.1;4.1 From Formal IS Development to Effective IS Design;280
25.4.2;4.2 Social Implications of De-design;281
25.5;5 Conclusions;282
25.6;References;283
26;Digital Infrastructures for Patient Centered Care: Examining Two Strategies for Recombinability;287
26.1;1 Introduction;287
26.2;2 Theoretical Background;289
26.3;3 Methodology;290
26.4;4 Case Study Description;291
26.5;5 Analysis;294
26.6;6 Discussion;296
26.6.1;6.1 Generic and Tailorable Recombinability;296
26.6.2;6.2 Design and Use Recombinability;297
26.7;7 Conclusion;297
26.8;References;297
27;Time Accounting System: Measuring Usability for Validating the Socio-Technical Fit of E-service Exchange Solutions in Local Communities;299
27.1;1 Introduction;299
27.2;2 Social Context of Bangladesh;300
27.3;3 Background and Motivation;301
27.4;4 Methodology;302
27.5;5 Results and Discussions;304
27.5.1;5.1 Results;304
27.5.2;5.2 Discussions;304
27.6;6 Conclusions;309
27.7;References;311
28;Digital Identity: A Case Study of the ProCIDA Project;313
28.1;1 Introduction;313
28.2;2 Background;314
28.2.1;2.1 Identity Management System;314
28.3;3 Case Study: ProCIDA Project;316
28.3.1;3.1 ProCIDA Architecture;320
28.3.2;3.2 Experimentation;322
28.4;4 Conclusions, Limitations and Future Research;324
28.5;References;325
29;A Monte Carlo Method for the Diffusion of Information Between Mobile Agents;326
29.1;1 Introduction;326
29.2;2 Definition of the Model;327
29.3;3 Related Work;329
29.4;4 The Simulation;330
29.5;5 Mean Field Theory;331
29.6;6 Results of the Simulation and Future Work;333
29.7;References;336
30;Part IV Organizing in Digital Ecosystems;337
31;Understanding the Use of Smart Working in Public Administration: The Experience of the Presidency of the Council of Ministers;338
31.1;1 Introduction;338
31.2;2 Conceptualizing Smart Working: An Organizational Perspective;340
31.2.1;2.1 The Context (of Public Organizations);341
31.2.2;2.2 The Smart-Working Elements;343
31.2.3;2.3 Individual, Organisational and Societal Outcomes;344
31.3;3 Method;346
31.4;4 The Case Study of the Presidency of the Council of Ministers: Findings and Discussion;347
31.4.1;4.1 The Context for the Adoption of SW in PCM;347
31.4.2;4.2 The Smart Working Elements in PCM;349
31.4.3;4.3 Individual, Organisational and Societal Outcomes for PCM;352
31.5;5 Conclusions and Next Steps;354
31.6;References;355
32;Decisions and Infrastructure (In)visibility: A Case Study;359
32.1;1 Introduction;359
32.2;2 Infrastructures, (In)visibility and Decision Making;360
32.3;3 The Case Study;362
32.3.1;3.1 Background: Willingness to Make ATM More Efficient in Europe;363
32.3.2;3.2 The Starting Point: Sectored Air Traffic Control;363
32.3.3;3.3 The Proposed Change: The Sectorless Scenario;364
32.3.4;3.4 Research Method;365
32.4;4 Data Analysis;365
32.4.1;4.1 The Actors Involvement;366
32.4.2;4.2 Dealing with the Problem/Issue;367
32.4.3;4.3 Solving the Conflicts;367
32.4.4;4.4 Driving the Decision Process;367
32.4.5;4.5 The Levels of Decision Process;368
32.5;5 Discussion on Infrastructure (In)visibility;368
32.6;References;371
33;Unlocking the Value of Public Sector Personal Information Through Coproduction;373
33.1;1 Introduction;373
33.2;2 The Impact of the Data Protection Legislation on the Re-use of Public Sector Personal Information;375
33.3;3 Privacy and Personal Information Protection in an Interconnected and Networked World;378
33.4;4 Unlocking the Value of PSPI;379
33.5;5 Conclusions, Limitations and Further Research Directions;382
33.6;References;383
34;Social Media Communication Strategies in Fashion Industry;386
34.1;1 Introduction;386
34.2;2 Corporate Reputation and Social Media Communication: A Literature Review;387
34.3;3 The Setting of the Quasi-replication;388
34.3.1;3.1 Methodology;388
34.3.2;3.2 Research Context;388
34.3.3;3.3 Sample Selection;389
34.3.4;3.4 Data Source and Data Analysis;389
34.3.5;3.5 Findings;392
34.4;4 Discussion and Conclusion;395
34.5;References;397
35;The Illusion of Routine as an Indicator for Job Automation with Artificial Intelligence;399
35.1;1 Introduction;400
35.2;2 Background;400
35.3;3 Methodology;402
35.4;4 Main Discussion;403
35.5;5 Conclusion;407
35.6;References;408
36;IS in the Cloud and Organizational Benefits: An Exploratory Study;409
36.1;1 Introduction;409
36.2;2 Theoretical Framework;410
36.2.1;2.1 Organizational Value of IT;410
36.2.2;2.2 Cloud Computing;411
36.3;3 Research Design;412
36.3.1;3.1 Factors, Calibration and Analysis;412
36.4;4 Data Analysis and Discussion;414
36.5;5 Discussion and Conclusion;417
36.5.1;5.1 Implications for Managers;417
36.5.2;5.2 Implications for Researchers;418
36.5.3;5.3 Limitations;419
36.6;References;419
37;Organizational Change and Learning: An Explorative Bibliometric-Based Literature Analysis;421
37.1;1 Introduction;421
37.2;2 Research Protocol;423
37.3;3 Data Analysis;427
37.3.1;3.1 Descriptive Analysis;427
37.3.2;3.2 The Analysis of the Topics Discussed in the Dataset;428
37.4;4 Discussion and Conclusions;433
37.5;References;433
38;Community-Oriented Motivations and Knowledge Sharing as Drivers of Success Within Food Assemblies;435
38.1;1 Introduction;436
38.2;2 Background Review and Hypothesis Development;436
38.2.1;2.1 Alternative Food Networks;436
38.2.2;2.2 Community-Oriented Motivations;437
38.2.3;2.3 Knowledge Sharing Through Online and On-Site Channels;438
38.3;3 Research Design and Methodology;439
38.3.1;3.1 Data Collection;439
38.3.2;3.2 Research Model and Data Analysis;440
38.3.3;3.3 The Regression Analysis;441
38.4;4 Results and Discussions;442
38.5;5 Conclusions, Limitations and Further Developments;445
38.6;References;445
39;Author Index;450