JIDOKA. Integration of Human and AI within Industry 4.0 Cyber Physical Manufacturing Systems

This book is about JIDOKA, a Japanese management technique coined by Toyota that consists of imbuing machines with human intelligence. The purpose of this compilation of research articles is to show industrial leaders innovative cases of digitization of value creation processes that have allowed them to improve their performance in a sustainable way. This book shows several applications of JIDOKA in the quest towards an integration of human and AI within Industry 4.0 Cyber Physical Manufacturing Systems. From the use of artificial intelligence to advanced mathematical models or quantum computing, all paths are valid to advance in the process of human–machine integration

SEdit - Graphically Validating Technical Systems

. In order to minimize the cost of rapid prototyping, SEdit offers the possibility to validate a technical system before its actual realization. For this purpose, the system has to be described logically by a set of axioms (system specification). By means of deduction, it can be proven that the system will show the desired behaviour. For the sake of user acceptance and understandability, SEdit is a graphical, interactive tool that may be regarded as a shell for easily invoking logical proofs. The applicability has been demonstrated at the 1995 MEDLAR review meeting [5]. 1 Introduction The development of complete and correct specifications of technical systems is a very tedious task. Usually, it starts from the first very shallow idea of the desired system behavior, then iterative improvements lead to an exact description of the system in terms of (sub) components and their relationships. As part of the MUSE 2 project, we have developed a prototypical environment for specifying techn..

The Role of Business Incubators in the Informal and Semi-formal financing of Micro, Small and Medium Enterprises: The Case of Incubated Enterprises in Tanzania

This research investigates the role business incubators on the MSMEs’ access to informal and semi-formal finance. To meet this purpose, firstly, the relationship between business incubation models and models of financial accessibility is assessed. secondly, the contribution of business incubators to the MSMEs informal and semi-formal financial accessibility is determined, by assessing the direct impact of monitoring services on financial accessibility and also assessing the incubator’s financial intermediation role between incubatees and financiers. Due to the important role played by social capital in non-formal financing, the influence of both incubatee and incubator manager’s social capital on incubatee’s informal and semi-formal financial accessibility is also investigated. The results indicate that, business incubator’s monitoring services have significant positive influence on incubatee’s access to informal and semi-formal finance, and also there is a significant positive relationship between monitoring services and financial management capabilities. Also, incubatee’s financial management capabilities have significant positive impact on semi-formal financial accessibility, nevertheless, there is insignificant relationship between incubatee’s financial management capabilities and informal financial accessibility. Furthermore, the results show, incubatee’s bonding and bridging social capital have direct positive impact on both informal and semi-formal financial accessibility, while incubator manager’s linking social capital has positive impact on semi-formal financial accessibility but insignificant impact on informal financial accessibility. Incubatee’s bridging social capital also negatively moderates the relationship between financial management capabilities and semi-formal financial accessibility, whereas incubatee’s bonding has no moderating effect on the same relationship. Incubator manager’s bonding and bridging social capital and incubatee’s linking social capital have insignificant direct impact on both informal and semi-formal financial accessibility, as well as insignificant moderating impact on the relationship between financial management capabilities and semi-formal financial accessibility. These findings show the importance of financial management capabilities on incubatee’s access to semi-formal finance and highlights the role of incubatee’s bonding and bridging network links and incubator manager’s linking social networks to the incubatee’s access to non-formal finance. They also reveal that informal financiers do not consider incubatee’s financial management capabilities as an important criterion in deciding to provide them credits:Acknowledgement i Table of contents iii List of tables viii List of figures xii Abbreviations xv Zusammenfassung xx Summary xxxii CHAPTER ONE 1 INTRODUCTION 1 1.1 Background to the problem 1 1.2 Statement of the Problem 4 1.3 Objectives of the study 10 1.3.1 General objective 10 1.3.2 Specific objectives 10 CHAPTER TWO 11 LITERATURE REVIEW 11 2.1 Start-ups and Micro, Small and Medium Enterprises 11 2.1.1 Micro, Small and Medium Enterprises 11 2.1.1.1 MSMEs’ sector in Tanzania 14 2.1.2 Start-ups 15 2.1.2.1 Startups in Tanzania 16 2.2 Business incubators 18 2.2.1 Services provided by business incubators 21 2.2.2 Business incubators in Tanzania 23 2.3 Financial management capabilities 28 2.3.1 Financial management capabilities in MSMEs 29 2.4 Financial system 32 2.4.1 Formal financing 33 2.4.2 Informal financing 33 2.4.3 Semi-formal financing 34 2.4.4 Financing system in Tanzania 34 2.4.5 Informal and Semi-formal financing system in Tanzania 36 2.4.5.1 Informal financiers 37 2.4.5.2 Semi-formal financiers 45 2.5 MSMEs’ financial accessibility 52 2.5.1 MSMEs’ financial accessibility in Tanzania 55 2.5.2 The role of business incubators in promoting MSMEs’ access to finance 56 2.6 Information asymmetries between MSMEs and financiers 59 2.7 Theory of financial intermediation 61 2.8 Social capital 62 2.8.1 Role of social capital on MSMEs’ access to finance 65 2.9 Summary of the theoretical framework 69 2.10 Proposed model 70 CHAPTER THREE 75 RESEARCH METHODOLOGY 75 3.1 Research Design 75 3.2 Study Area 76 3.3 Targeted population 78 3.4 Sample 79 3.5 Operational definitions and measurement of the variables 83 3.5.1 Variable indicators 83 3.5.2 Business incubators' monitoring services 83 3.5.3 Financial management capabilities 84 3.5.4 Incubatee's bonding social capital 84 3.5.5 Incubatee's bridging social capital 85 3.5.6 Incubatee's linking social capital 85 3.5.7 Incubator manager's bonding social capital 86 3.5.8 Incubator manager's bridging social capital 86 3.5.9 Incubator manager's linking social capital 87 3.5.10 MSMEs’ Financial accessibility 87 3.6 Data collection instrument 92 3.6.1 Questionnaire 92 3.6.2 Personal interviews 93 3.7 Data collection 93 3.8 Data Analysis 94 3.8.1 Qualitative data analysis 94 3.8.2 Quantitative analysis 95 3.8.2.1 Data preparation 95 3.8.2.2 Descriptive statistics 96 3.8.2.3 Factor analysis 96 3.8.2.4 Inferential Statistics 104 3.8.2.4.1 Spearman correlations analysis 105 3.8.2.4.2 Kruskal-Wallis test 105 3.8.2.4.3 Partial Least Squares regressions analysis 105 3.9 Validity and Reliability 106 3.9.1 Validity and reliability of qualitative research 106 3.9.2 Validity and reliability in quantitative research 107 CHAPTER FOUR 110 PRESENTATION OF FINDINGS 110 4.1 Introduction 110 4.2 Qualitative results 110 4.2.1 Current status of business incubation programs in Tanzania 110 4.2.2 Factors for business incubators’ successful financial intermediary role118 4.3 Quantitative results 132 4.3.1 Descriptive results 132 4.3.1.1 Sample demography 133 4.3.1.1.1 Relationship between age and incubation period of incubated MSMEs 133 4.3.1.1.2 Categorizing incubated MSMEs by number of employees and business capital 135 4.3.1.1.3 Distribution of incubatees by their nature of ownership and business activity 138 4.3.1.1.4 Financiers’ provision of requested amount of loans to incubatees 140 4.3.1.2 The contribution of business incubators to MSMEs financial accessibility 145 4.3.1.2.1 The Business Incubator's Monitoring services 146 4.3.1.2.2 Financial Management capabilities of incubatees 147 4.3.1.2.3 MSMEs’ financial accessibility 149 4.3.1.3 Relationship between business incubation models and models of MSMEs financing 150 4.3.1.4 Factors for successful intermediary role of an incubator 152 4.3.1.5 Incubatees and incubator managers’ social capital on Incubatees' financial accessibility 155 4.3.2 The impact of business incubation on MSMEs access to informal and semi-formal finance 160 4.3.2.1 Demographic characteristics of incubated enterprises 161 4.3.2.2 Relationship between business incubation models and models of financial accessibility 165 4.3.2.3 Contribution of incubators to the MSMEs informal and semi-formal financial accessibility 166 4.3.2.3.1 Impact of business incubator’s monitoring services on MSMEs’ informal and semi-formal financial accessibility 167 4.3.2.3.2 Business incubators’ financial intermediation role between incubated MSMEs and financiers. 170 4.3.2.4 Impact of incubatee and incubator manager’s social capital on iMFA and sMFA 173 4.3.2.5 Moderating impact of Incubatee's and incubator manager's social capital on the FMC-MFA relationship 179 4.4 Summary of chapter four 183 4.4.1 Developing a model on incubated MSMEs’ access to informal and semi- formal finance. 190 4.4.1.1 A model on incubated MSMEs’ access to informal finance 190 4.4.1.2 A model on incubated MSMEs’ access to semi-formal finance. 191 4.4.1.3 The influence of demographic characters on the relationship between social capital and financial accessibility. 192 CHAPTER FIVE 196 DISCUSSION OF FINDINGS 196 5.1 Introduction 196 5.2 Demographic characteristics of incubatees 196 5.3 Relationship between business incubation models and models of financial accessibility 201 5.4 Business incubators’ financial intermediation role between MSMEs and financiers. 203 5.5 Factors for successful business incubator’s financial intermediary role 207 5.6 Impact of incubatee’s and incubator manager’s social capital on informal and semi-formal financial accessibility 209 5.7 Moderating impact of Incubatee's and incubator manager's social capital on the FMC-MFA relationship 212 CHAPTER SIX 214 CONCLUSIONS AND RECOMMENDATIONS 214 6.1 Conclusions 214 6.2 Recommendations 221 6.3 Scope for further research 229 Reference 234 Appendix I Total Variance Explained 253 Appendix II Component Matrix 254 Appendix III Pattern Matrix 255 Appendix IV Questionnaire 256 Appendix V Questionnaire (Swahili version) 261 Appendix VI Interview guide for the financiers (English version) 266 Appendix VII Interview guide for the financiers (Swahili version) 267 Apendix VIII Interview guide for incubators’ managers and key informants (English version) 268 Appendix IX Interview guide for incubators’ managers and key informants (Swahili version) 269 Appendix X Eigenständigkeitserklärung 27

Utility assessment based on individualized patient perspectives

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.Includes bibliographical references (p. 203-211).The feasibility of using the terminology of the individual patient to capture and express the individual's particular, perhaps unique, value system for healthiness is explored as a means to evaluate the quality of life. The hypothesis is that a systematic approach that treats the patient as a competent expert on a patient's perception of what it means to be healthy is a viable approach to his or her values. It is anticipated that eliciting such knowledge in a form that health care providers can use will enhance medical decision making. A systematic and rigorous protocol is described consisting of a reconstruction of utility assessment using traditional methodological building blocks applied to the descriptors elicited from the individual. The representation of values is multidimensional. Ordered nominal scales are constructed from the words of the individual's description of familiar people in a structured interview. A complete list of comprehensive scales is composed as indicated by the responses of the individual to hypothetical decisions involving tradeoffs. The result is a scoring system for health state descriptions suitable to represent values for the outcomes in medical decision models constructed by the medical community. The output is a patient preference model referred to as an Individualized Multidimensional Quality of Life (IMQOL) model. This model also provides a means to describe and rank potential outcomes from the same individualized perspective. Feasibility is explored by empirical evaluation of sixteen interviews of dialysis patients with the IMQOL protocol and applying the resulting model to the patient's own health as well as four other states of health common in dialysis therapy. Comparison is made to results of quality of life assessment with standard gamble and time tradeoff methods in the same patients for the same described outcomes. Qualitative responses from patients regarding their confidence in the representation of their values are rewarding. Results are quantitatively comparable to traditional utility assessment. A prototypic computer program is used to substantiate the programmability and potential for automation. The protocol expands the information contributing to understanding by both the health care provider and the patient. Future evaluation and extension are discussed.by Duane A. Steward.Ph.D