Measuring Process Modelling Success

Process-modelling has seen widespread acceptance, par ticularly on large IT-enabled Business Process Reengineering projects. It is applied, as a process design and management technique, across all life-cycle phases of a system. While there has been much research on aspects of process-modelling, little attention has focused on post-hoc evaluation of process-modelling success. This paper addresses this gap, and presents a process-modelling success measurement (PMS) framework, which includes the dimensions: process-model quality; model use; user satisfaction; and process modelling impact. Measurement items for each dimension are also suggested

Knowledge Communication in Product Development Projects

During the last decades, a number of studies have been concerned with com-munication related to new product development. These have looked at either intra-organizational communication between departments or communication between new product development teams and external stakeholders such as customers or suppliers. Only little research, however, has combined internal and external stakeholder communication and explored the role of technology uncertainty on communication. The purpose of this study is to examine how technology uncertainty affects project manager communication behavior during new product development. We carried out an embedded case study of a major NPD project in the automation industry. The findings indicate that technology uncertainty is positively related to communication frequency between project manager and project stakeholders during the early phase of NPD project. In addition we found a negative association between technology uncertainty and the breadth and depth of communication between project manager and stakeholders in early phase of the NPD project. These findings indicate that under high technology uncertainty, managers of NPD projects modify their communication behavior not only with respect to how frequently they communicate with stakeholders, but also to which stakeholders they communicate and how deeply they engage different stakeholders in different phases of the new product development project.

Establishing Processing Priorities: Recommendations from a 2017 Study of Practices in US Repositories

Building upon archival scholarship and previous solutions addressing backlog collections, this study seeks to identify a comprehensive, integrated, and effective strategy to establish and maintain processing priorities. This study is based on supporting research, which includes the results of a survey of archivists and the findings of five focus group discussions about processing priorities. Using these findings, the authors (a) consider whether this focus on an old problem has motivated archivists to find innovative solutions; (b) determine whether archivists are using these tools; (c) consider whether and how archivists have changed processing priority practices and policies; and (d) seek to clarify current metrics to establish overall processing priorities

탄자니아 전자정부 사용자의 만족도 분석

학위논문(석사) -- 서울대학교대학원 : 행정대학원 행정학과, 2023. 2. Seok-Jin Eom.E-Government users satisfaction is an important factor for users to continue using E-Government Systems. Many countries, developed and developed ones, have been using E-Government services with the intention of transforming public service institutions and public services delivery. Governments have been investing heavily in E-Government so as to deliver quality services, engaging the community and stakeholders in decision making process and with the intention of minimizing corruption. There still remains the question of what factors really influence e-Government users satisfaction. This study aims to examine factors influencing E-Government users satisfaction, by using the E-Office Management System at the Judiciary of Tanzania as the case study. Basing on available literature on the field of e-Government, four independent variables that may influence E-Office Management System users satisfaction are examined in this study. Identified independent variables for this study are System Quality, Information Quality, Service Quality and Security and Privacy. Furthermore, Gender, Age, Level of Education, Working Experience, Job Position and Frequency of Using E-Office Management System are used as control variables of this study. From four independent variables, four hypotheses were formulated in this study. Survey data from 112 employees of the Judiciary of Tanzania who have access to e-Office Management System were collected and used to test four hypotheses of the study. IBM SPSS Statistics software was used to analyze data collected from the respondents of this study. Findings show that Information Quality and Security and Privacy positively influence e-Office Management System users satisfaction. However, this study did not confirm if System Quality and Service Quality have a positive influence on E-Office Management System users satisfaction. Moreover, all control variables were not confirmed to have any positive influence on users satisfaction. The findings of this study provide some insights to decision makers to keep into consideration factors that positively influence E-Government users satisfaction, and calls for more research to be conducted on effects of service quality and system quality on e-government users satisfaction. Keywords: System Quality, Information Quality, Service Quality, Security and Privacy, and e-government users satisfaction. Student Number: 2021-28985전자정부 사용자의 만족도는 사용자가 전자정부 시스템을 지속적으로 사용하기 위한 중요한 요소이다. 선진국을 막론한 많은 국가들이 공공서비스 기관과 공공서비스 제공을 전환하려는 의도로 전자정부 서비스를 이용해 왔다. 정부는 양질의 서비스를 제공하기 위해 전자 정부에 많은 투자를 해왔고, 지역 사회와 이해 관계자들을 의사 결정 과정에 관여하게 하고 부패를 최소화하려는 의도로 참여시켜왔다. 전자정부 사용자의 만족도에 실제로 영향을 미치는 요소가 무엇인지에 대한 질문은 여전히 남아 있다. 본 연구의 목적은 탄자니아 사법부의 E-Office Management 시스템을 사례연구로 활용하여 전자정부 이용자의 만족도에 영향을 미치는 요인을 분석하는 것이다. 본 연구에서는 전자정부 분야에 관한 문헌자료를 바탕으로 전자사무관리시스템 이용자의 만족도에 영향을 미칠 수 있는 4가지 독립변수를 확인하였다. 본 연구에서 확인된 독립 변수는 시스템 품질, 정보 품질, 서비스 품질, 보안 및 개인 정보 보호이다. 또한 연구의 통제변수로는 성별, 연령, 교육수준, 근무경력, 직위, E-Office Management 시스템 사용빈도 등이 사용되고 있다. 본 연구에서는 4개의 독립변수로부터 4개의 가설을 수립하였다. E-Office Management 시스템에 접근할 수 있는 탄자니아 사법부 직원 112명의 조사 데이터를 수집하여 연구의 네 가지 가설을 테스트했다. IBM SPSS Statistics 소프트웨어를 사용하여 본 연구의 응답자로부터 수집된 데이터를 분석하였다. 본 연구는 정보 품질과 보안 및 개인정보보호가 E-Office Management 시스템 사용자의 만족도에 긍정적인 영향을 미치는 것으로 나타났으나, 시스템 품질과 서비스 품질이 E-Office Management 시스템 사용자의 만족도에 긍정적인 영향을 미치는지는 확인하지 못하였다. 또한 모든 통제변수가 이용자 만족도에 긍정적인 영향을 미치는 것으로 확인되지 않았다. 본 연구의 결과는 의사결정자들에게 전자정부 이용자의 만족도에 긍정적인 영향을 미치는 요소들을 고려할 수 있는 몇 가지 통찰을 제공하며, 서비스 품질과 시스템 품질이 전자정부 이용자의 만족도에 미치는 영향에 대한 더 많은 연구를 수행할 것을 요구한다. 키워드: 시스템 품질, 정보 품질, 서비스 품질, 보안 및 개인 정보 보호, 전자 정부 사용자 만족도 학번: 2021-28985CHAPTER 1. INTRODUCTION 1 1.1 Background and Research Question 1 1.2 Significance and Purpose of the research 3 1.3 Scope of the research 4 1.4 Research Methodology 6 CHAPTER 2: THEORETICAL BACKGROUND AND LITERATURE REVIEW 8 2.1 Theoretical Background 8 2.2 The Concept of E-Government and E-Government in Tanzania 12 2.2.1 Defining E-Government 12 2.2.2 E-Government Development Stages 14 2.2.3 E-government in Tanzania. 17 2.2.4 Functions of E-Government in Tanzania 21 2.2.5 Advantages of e-Government in Tanzania 23 2.2.6 Challenges of e-Government in Tanzania 24 2.2.7 E-Office Management System in Tanzania 25 2.2.8 Information System Models 28 2.2.9 Theoretical frameworks for e-Government success 32 2.3 E-Government users satisfaction 37 2.3.1 Factors Influencing E-Government Users Satisfaction 37 2.3.2 System Quality 38 2.3.3 Information Quality 38 2.3.4 Service Quality 39 2.3.5 Security and Privacy 39 2.4 Literature Review 40 2.5 Gap Analysis 45 CHAPTER 3. RESEARCH METHODOLOGY 46 3.1 Research design 46 3.2 Analytical framework 47 3.3 Research Hypotheses 48 3.3.1 System Quality and E-Office Management System Satisfaction 49 3.3.2 Information Quality and E-Office Management System Satisfaction 50 3.3.3 Service Quality and E-Office Management System Satisfaction 51 3.3.4 Security, Privacy and E-Office Management System Satisfaction 51 3.4 Conceptualization and Operationalization 53 3.4.1 E-Government Services Satisfaction 53 3.4.2 System Quality 53 3.4.3 Information Quality 54 3.4.4 Service Quality 54 3.4.5 Security and Privacy 55 3.4.6 Gender 55 3.4.7 Working Experience 56 3.4.8 Age 56 3.4.9 Level of Education 56 3.4.10 Job Position 57 3.4.11 Frequency of Using 57 3.5 Measurement and Data Sources 57 3.5.1 Survey Questionnaire 58 3.6 Sampling and Data Collection 58 3.6.1 Population of the Study 59 3.6.2 Sampling Frame 59 3.6.3 Sample to be studied 59 3.6.4 Sampling Method 60 3.6.5 Survey Instrument 60 3.6.6 Data Collection 61 3.7 Data Processing and Data Analysis 62 3.8 Reliability and Validity 62 CHAPTER 4. PRESENTATION, ANALYSIS AND DISCUSSION OF FINDINGS 63 4.1 Response Rate 63 4.2 Reliability Statistics 64 4.3. Respondents Demographic Characteristics 64 4.4 Descriptive Statistics 66 4.5 Demographic categories in comparison with Dependent and Independent Variables 68 4.5.1 Demographic categories in comparison with E-Office Management System users satisfaction 68 4.5.2 Demographic categories in comparison with System Quality 70 4.5.3 Demographic categories in comparison with Information Quality 71 4.5.4 Demographic categories in comparison with Service Quality 73 4.5.5 Demographic categories in comparison with Security and Privacy 76 4.6 Multicollinearity Analysis 78 4.7 Correlation Analysis 79 4.8 Regression Analysis 82 4.8.1 Model Summary 83 4.8.2 ANOVAa 83 4.8.3 Coefficients of multiple Regression 84 4.9 HYPOTHESES TESTING 85 4.9.1. System Quality 85 4.9.2 Information Quality 86 4.9.3 Service Quality 86 4.9.4 Security and Privacy 87 4.9.5 Summary of Findings 87 4.10 DISCUSSION OF FINDINGS 88 4.10.1 E-Office Management System users satisfaction 88 4.10.2 System Quality on e-Office Management System Users satisfaction. 89 4.10.3 Information Quality on e-Office Management System Users satisfaction. 90 4.10.4 Service Quality on e-Office Management System Users satisfaction. 91 4.10.5 Security and Privacy on e-Office Management System Users satisfaction. 91 4.10.6 Gender, age, level of education, working experience, job level (position) and frequency of use on e-Office Management System users satisfaction. 92 CHAPTER 5. CONCLUSION 94 5.1. Conclusion 94 5.2. Recommendations 98 5.3. Limitations of the Study 98석

Study on the Development and Use of E-commerce in the Special Region of Yogyakarta with De Lone and Mc. Lean IS Success Model

The high growth of e-commerce in Indonesia is influenced by several things. Because of changes in people's behavior and the advancement of the quality of information and the quality of services. This includes the Special Region of Yogyakarta (DIY), which is one of the areas with the highest level of e-commerce service users in Indonesia. This research was conducted to study the development and use of e-commerce in the Special Region of Yogyakarta (DIY). This needs to be done because even though DIY is one of the areas with the highest level of e-commerce service users in Indonesia, the level of e-commerce business activity in Indonesia, especially DIY, is still relatively new, so there are still many shortcomings in its implementation. Researchers use e-commerce metrics suggested by DeLone and Mc.Lean (2004) as the foundation of the instrument. Research data processing using Smart Partial Least Square (Smart-PLS) 3.0. The analytical model used in this study is a structural equation model (SEM) and inductive analysis using goodness of fit model (inner model) research which serves to determine the suitability of a model used in this study. From the data processing that has been done, there are 2 independent variables that have no significant effect on the dependent variable. From this finding it is expected that companies engaged in e-commerce services can focus on achieving net benefits by paying attention to several variables that have a significant influence. The findings of this study also support several previous studies that have been tested previously

Towards a sustainable economy? Socio-technical transitions in the green building sector

Making the transition to a green economy is a major policy driver in the UK and other countries. Entrepreneurs are suggested as being at the forefront of this transition and as a driving force for sustainability. These “green entrepreneurs” may represent a new type of entrepreneurial behaviour combining economic, environmental and social aims. In this paper, we present empirical work conducted with green entrepreneurs in the UK green building sector. Buildings have significant impacts on the environment, both in terms of materials and post-construction energy demands. Drawing on sustainability transitions theory, we examine the role of green entrepreneurs in affecting change and suggest that green building niches are less consensual than previously theorised. In theorising green entrepreneurs, we also point to the need to consider them within wider networks of activity rather than as lone actors and the implications this has for policy