Examining the impact of attitude, subjective norm, environmental awareness and technology towards green technology implementation among Malaysian university staff in northern region

Climate change has caused floods, droughts, raised the sea level, decreased the ecosystem and caused havoc to the weather system. Therefore, the implementation of green technology is desired to mitigate the climate change. The focus of prior studies has largely been on profit- making organizations and companies in the manufacturing sector contributing to the motivation of conducting this study. The objective of this study was to investigate the relationship between the independent variables and green technology implementation in the Malaysian Northern Region public universities. Besides, the study investigated the moderating effect of government support on the relationship between the independent variables and green technology implementation. This study integrated the theory of planned behavior (TPB) and the technology acceptance model (TAM) as its theoretical framework. The questionnaires were randomly distributed to six public universities in Malaysia, namely Universiti Sains Malaysia, Universiti Teknologi Mara Pulau Pinang, Universiti Utara Malaysia, Universiti Malaysia Perlis, Universiti Teknologi Mara Perlis and Universiti Teknologi Mara Kedah. 384 questionnaires were analyzed by using SPSS 20. Pearson correlation, multiple regression, hierarchical regression analysis, process macro and simple slope analysis were used to achieve the objectives. The result of this study revealed that all the independent variables (attitude, subjective norm, environmental awareness and technology) have positive relationships with green technology implementation. In addition, the independent variables collectively influence green technology implementation. Furthermore, this study proved that government support moderates the relationship between attitude, subjective norm, environmental awareness and technology towards green technology implementation. This means that government support could strengthen the positive relationship between the four independent variables and green technology implementation. Moreover, this study contributes to the body of knowledge in technology management (green technology), the universities and also the governmen

Factor that Contributes to the Success of Green Technology Implementation in Malaysian Public Universities

Abstract The purpose of this study is to investigate the relationship between technology and green technology implementation. Besides that, the author also determines the effect of government support as moderator to the relationship between technology and green technology implementation. The respondents for this study are three hundred and eighty-four (384) staff from Malaysian Public Universities in northern region. The primary data (using questionnaire) then were analysed using Statistical Packages for the Social Sciences (SPSS) by referring to Pearson Correlation, Hierarchical regression and Simple Slope analysis. The finding from Pearson Correlation shows that technology has a positive relationship with green technology implementation. Hierarchical Regression and Simple Slope analysis confirmed that government support moderates the relationship between technology and green technology implementation. Keywords green technology implementation, public university, moderator, hierarchical regression, government support, green supply chai

Assignment of spectrum demands by merits via analytic hierarchy process and integer programming

Demand for wireless services is ever increasing due to wireless technology advances, which directly relates to the increasing demand for spectrum bandwidths. Due to the high demand, thus spectrum has become scarce.As a result, spectrum bandwidths have become important and need to be efficiently assigned to potential and demanding service providers.Thus, this paper proposes an integrated approach to solve a spectrum assignment problem.The integrated model is developed to efficiently determine the optimal spectrum assignment for the purpose of satisfying the identified relevant requirements and constraints or criteria.The development of the model has also taken into consideration the situation when the spectrum regulator wishes to choose the best provider or licensee based on merits.For that purpose, suitable weights based on qualitative criteria were obtained via Analytic Hierarchy Process and subsequently used as coefficients in the respective Integer Programming formulation. The integrated optimization model is able to tackle a multi-criteria spectrum problem and then solve the assignment problem by way of maximizing the total efficiency. The results exhibits a more efficient alternative as compared to the existing qualitative approach, as it is able to combine subjective judgments computation with a mathematically formulated approach to produce a systematic and consistent results

Modeling of spectrum demands through hybrids of analytic hierarchy process and integer programming

As wireless technology advances, demand for spectrum bandwidth increases and thus, spectrum has become scarce. As a scarce resource, spectrum bandwidths need to be efficiently allocated to potential service providers. Hence, this paper first reviews current approaches on how spectrum bandwidths are being allocated to the service providers. Then we present an efficient integrated approach in allocating spectrum volumes, whereby the approaches of Analytic Hierarchy Process and Integer Programming are integrated and applied to produce systematic and consistent allocation results. The integrated approach is able to cater multi-criteria problems through determination of suitable weights and computations, which exhibits a more efficient alternative as compared to the existing approaches.The illustrations revealed that the integrated approach indeed has the potential to be implemented and gives an alternative to the current existing approaches

A review of clean-label approaches to chilli paste processing

Consumer demand for clean-label food products is increasing. Moreover, the production of ready-to-cook products have begun to include clean-label efforts. Dried chilli, the raw material for chilli paste, is susceptible to contaminants such as mould dirt and pesticides that must be removed to maintain the safety and quality of products. In this review, trends related to processes involved in chilli paste production are highlighted. Improvements in preservation technology and the potential for using a clean-label approach to produce premium-quality chilli pastes were explored. Ultrasound washing and high-pressure processing could be combined as part of a hurdle technique for processing chilli pastes that align with consumer values. Ultrasound washing disinfects and removes dirt pesticides and chemical residues present on dried chillies. High-pressure treatments inactivate microorganisms and enzymes, which could extend the shelf-life of chilli pastes. Additionally, organic acid and garlic can be used as natural preservatives to improve the formulation without using artificial ingredients. This clean-label concept can be integrated into the hurdle strategy to produce chilli paste that fulfils the consumer demand for a safe, naturally nutritional product with an extended shelf-life

Integrating analytic hierarchy process with integer programming to efficiently model spectrum demands

As wireless technology advances, demand for spectrum bandwidth increases and thus, spectrum has become scarce. As a scarce resource, spectrum bandwidths need to be efficiently allocated to potential service providers. Hence, this paper presents an efficient integrated approach in allocating spectrum volumes, whereby the approaches of Analytic Hierarchy Process and Integer Programming are combined and applied to produce systematic and consistent results. The integrated approach is able to cater multi-criteria problems through determination of suitable weights and computations, which exhibits a more efficient alternative as compared to the existing approaches