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In this research, we perform a meta-analysis to explain how organizations are deploying technologies to enforce organizational sustainability by meeting the goal of eco-effectiveness. Prior studies have studied the influences on the adoption of technologies using the TechnologyOrganisation-Environment (TOE) model that incorporate some aspects of technological, organizational or environmental factors. We collected prior research to test the factors of the TOE model to ascertain their relative impact and strength. Our meta-analysis found eight additional technological and organizational factors. We found strong support for IT infrastructure, perceived direct benefits, top management support, and competitive pressure. Moderate support for compatibility, technological readiness, perceived indirect benefits, knowledge (human resources), organizational size, attitudes towards innovation, learning culture, pressure from trade partners (industry characteristics) and regulatory support. Lastly, weak support was found for relative advantage, complexity, perceived risks and information learning culture. Only two dimensions, financial resources and environmental uncertainty failed to reach statistical significance.

Research on IT governance has tended to focus on the issue within a single organizational environment. Our understanding of IT governance in an inter-organizational context remains limited. In addition, few have taken a socio-technical perspective. The aim of the study is therefore to empirically explore the impacts of socio-technical factors on the effectiveness of IT governance for a collaborative network by examining three IT governance elements: structure, process and relational mechanism. This paper reports on the findings of the pilot phase of the broader study. The findings indicate that more effective collaborative IT governance is associated with an active involvement of a governing body; a coordinated communication process; and the presence of relational culture and attitudinal commitment. Theoretical and managerial implications of the study are discussed.

The study seeks to examine the impact of Information technology (IT) governance structure, process and relational mechanisms on firm performance. Using an event study, we collected a sample of 70 announcements of IT governance adoption investments. We found that most firms adopt all three types of IT governance mechanisms. IT governance structural mechanisms have a positive impact on firm's profitability. In contrast, IT governance process and relational mechanisms have a negative association with firm performance. More interestingly, the findings provide insight for organizations that they should realize the potentially negative impact of the controls requirements of Sarbanes-Oxley Act Section 404 and IT leadership on firm performance.

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Agriculture decision support systems (DSSs) play an important role in facilitating evidence-based agricultural decision-making for improving agribusiness productivity. Evaluating and selecting the most appropriate agriculture DSS for sustainable agribusiness is, however, challenging due to the existence of production and marketing alternatives, a variety of objective functions from economic to lifestyle to long-term sustainability, and the subjectiveness and imprecision involved in the evaluation process. To help decision makers effectively deal with these issues, this paper presents a multicriteria analysis approach for evaluating and selecting the most appropriate agriculture DSS for sustainable agribusiness. The subjective assessments of decision makers in the evaluation process are formulated using linguistic variables approximated by fuzzy numbers. The concept based on the positive and the negative ideal solutions is applied for producing a performance index value for every agriculture DSS alternative across all evaluation criteria based on which the most appropriate agriculture DSS is. An empirical study is presented for demonstrating the step-wise process for evaluating and selecting the most appropriate agriculture DSS for sustainable agribusiness. The outcome from the performance evaluation process allows agribusinesses to effectively adopt appropriate agriculture DSSs for achieving competitive advantages.

Electronic Government (e-Government) refers to a system of information, communication and interaction between government and its citizens. E-Government adoption has been studied for more than a decade with several meta-analytic studies being produced in that time. This study is differentiated from prior meta-analyses as it splits the empirical studies into pre-adoption and post-adoption studies to allow a clearer model of e-Government. We found different determinants and distinct models for pre- and post-adoption of e-Government. In the two models (pre-adoption and post-adoption) trust is only related to pre-adoption studies. Originally, 98 studies were coded but with the focus on pre-adoption and post-adoption, 53 were used in the final models as they contained the attributes of interest.

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