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Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.

The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.

In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.

The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.

This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.

This chapter shifts focus from the underlying causes of offending to current rehabilitation approaches and models. It begins with an overview of the rehabilitation movement, emphasising the principle of ‘what works’ in offender reform. The discussion then moves on to explore two major frameworks: the Risk-Need-Responsivity (RNR) model and the Good Lives Model (GLM). Each model will be briefly outlined and critically evaluated for its effectiveness in preventing re-offending and supporting desistance. The chapter concludes with a rationale for introducing a new approach to rehabilitation, the Compassionate Positive Applied Strengths-based Solutions (COMPASS) model, summarising its potential benefits for enhancing desistance support.

Organizations may fail to innovate because receivers exhibit bias against adopting creative ideas. This paper explores many motivational, cognitive, and affective factors that can cause receivers to hinder the creativity–innovation process. In particular, receivers may engage in motivated reasoning and skepticism against creative ideas, face barriers to recognizing creative value, and experience negative affect when receiving creative ideas. Each creative adoption decision point during the creativity–innovation process is an opportunity for bias to derail progress. This helps explain why innovation can be so difficult. Understanding the biases that hinder the creativity–innovation process allows individuals and organizations to take action to mitigate them.

The spread of broadband Internet has resulted in the increase of spyware and adware. This study highlights their damaging effects and proposes a model that captures defensive measures adopted by Internet users. Specifically, our model indicates that knowledge has a positive impact on self‐efficacy that, in turn, is presumed to trigger technical defensive measures. Moreover, concerns for privacy and previous experience with spyware and adware are likely to evoke both tactical and technical defense measures. Data collected by the PEW Internet and American Life research project are utilized to test the proposed model and the findings are discussed.

EVERYONE today is busily engaged in devising new methods, bringing about economies in motions, and applying incentives, but is enough attention being paid to the maintenance mechanics, from the human aspect, in these applications of work study?

Entrepreneurial opportunity (EO) identification pertains to the core processes of entrepreneurship and innovation. The initial phase of this process starts with individual cognition, which is why cognition has been established as a critical theoretical perspective.

Knowledge and new information have been confirmed as essential cognitive impact factors. However, it is not understood well, how individuals apply those factors and how they actually identify innovative and economically viable EOs. To address the limitations of current research, this chapter investigates the current literature on underlying cognitive processes of opportunity identification.

The literature analysis demonstrates that there is not a single cognitive process but rather a magnitude of different micro-mechanisms that are necessary for the successful identification of EOs. The findings are grouped to four categories of cognitive processes and entail their micro-mechanisms: pattern recognition, information processing, and creative thinking. Furthermore, the analysis reveals that those micro-mechanisms have seldom been related to each other within the scope of opportunity identification. This chapter closes this gap by discussing and contrasting and the different process categories and respective micro-mechanisms and suggests an integrative theory development and avenues for future research.

This chapter attempts to elucidate the important role that divergent thinking plays in organizational creativity, innovation, and change. We define brainstorming as a systematized method of divergent thinking, review this literature, and advocate for the strategic use of brainstorming to enhance creativity and innovation. We identify contradictory findings in the research literature that have led practitioners and researchers to disregard brainstorming techniques. We suggest that cultural forces embedded in organizations may prevent divergent thinking and brainstorming from becoming established normative organizational processes, thus hampering organizations’ potential for change and innovation. The chapter closes by putting divergent thinking and brainstorming in perspective and provides guidelines for its use.