Search results

The purpose of this paper is to investigate the structural, electronic and optical properties of pure zinc oxide (ZnO) and transition metal (Tm)-doped ZnO using Tm elements from silver (Ag) and copper (Cu) by a first-principles study based on density functional theory (DFT) as implemented in the pseudo-potential plane wave in CASTEP computer code.

The calculations based on the generalized gradient approximation for Perdew-Burke-Ernzerhof for solids with Hubbard U (GGA-PBEsol+U) were performed by applying Hubbard corrections U_d = 5 eV for Zn 3d state, U_p = 9 eV for O 2p state, U_d = 6 eV for Ag 4d state and U_d = 9.5 eV for Cu 3d state. The crystal structure used in this calculation was hexagonal wurtzite ZnO with a space group of P63mc and supercell 2 × 2 × 2.

The total energy was calculated to determine the best position for Ag and Cu dopants. The band structures and density of states show that Tm-doped ZnO has a lower bandgaps value than pure ZnO because of impurity energy levels from Ag 4d and Cu 3d states. In addition, Ag-doped ZnO exhibits a remarkable enhancement in visible light absorption over pure ZnO and Cu-doped ZnO because of its lower energy region and extended wavelength spectrum.

The results of this paper are important for the basic understanding of the 3d and 4d Tm doping effect ZnO and have a wide range of applications in designing high-efficiency energy harvesting solar cells.

Presents a technique for diagrammatically representing the operation of portfolio optimization analysis models.

This article attempts to explore the theoretical model and structural dimensions of sustainable consumer behaviour to develop a “sustainable consumer behaviour scale” for sustainable electronic products. Further, this study has tried to elaborate sustainable consumer behaviour by considering the complete consumption cycle which includes purchase, usage and disposal of the sustainable electronic products.

The theory of planned behaviour (TPB) has been employed to understand the multidimensional nature of sustainable consumer behaviour with the help of qualitative and quantitative methods. With the help of a pilot study followed by a main study, a sustainable consumer behaviour scale for sustainable electronic products has been tested and validated for its factor study, reliability, validity and model fit, etc. Moreover, the influence of demographic variables has also been examined with the help of multi-group analysis.

This study highlights that the perceived control behaviour and subjective norms are the major factors that influence sustainable consumer behaviour. Moreover, the results also indicate that female consumers, mid income consumers, young consumers (age below 30) and consumers who have studied up to senior secondary level are more sustainable.

The results can be used by policymakers and managers to identify and target particular subjective norms and factors impacting perceived control behaviour along with a specific set of demographics to increase sustainability amongst consumers and businesses. The results of the current study can help in increasing the focus of the academic research towards sustainable consumer behaviour. It will also encourage firms to include sustainable electronic products in their product line.

To the best of authors' knowledge, the current article is the first empirical study to develop a sustainable consumer behaviour scale by including all the different stages of the consumption cycle using TPB for sustainable electronic products. Although multiple efforts have been made by researchers to analyse sustainable consumer behaviour, there is a scarcity in literature in which research has been done to analyse sustainable consumer behaviour by considering the whole consumption cycle (purchase, usage and disposal).

The purpose of this paper is to provide comprehensive information on preventive maintenance (PM) planning and methods used in the industry in order to achieve an effective maintenance system.

The literature review is organized in a way that provides the general overview of the researches done in the PM. This paper discusses the literatures that had been reviewed on four main topics, which are the holistic view of maintenance policies, PM planning, PM planning concept and PM planning-based in developing optimal planning in executing PM actions.

PM policy is one of the original proactive techniques that has been used since the start of researches on maintenance system. Review of the methods presented in this paper shows that most researches analyse effectiveness using artificial intelligence, simulation, mathematical formulation, matrix formation, critical analysis and multi-criteria method. While in practice, PM activities were either planned based on cost, time or failure. Research trends on planning and methods for PM show that the variation of approaches used over the year from early 1990s until today.

Research about PM is known to be extensively conducted and majority of companies applied the policy in their production line. However, most analysis and method suggested in published literatures were done based on mathematical computation rather than focussing on solution to real problems in the industry. This normally would lead to the problems in understanding by the practitioner. Therefore, this paper presented researches on PM planning and suggested on the methods that are practical, simple and effective for application in the real industry.

The originality of this paper comes from its detail analysis of PM planning in term of its research focus and also direction for application. Extensive reviews on the methods adopted in relation to PM planning based on the planning-based such as cost-based, time-based and failure-based were also provided.

This paper reviews the literature on maintenance strategies for energy efficiency as a potential maintenance approach. The purpose of this paper is to identify the main concept and common principle for each maintenance strategy for energy efficiency.

A literature review has been carried out on maintenance and energy efficiency. The paper systematically classified the literature into three maintenance strategies (e.g. inspection-based maintenance [IBM], time-based maintenance [TBM] and condition-based maintenance [CBM]). The concept and principle of each maintenance strategy are identified, compared and discussed.

Each maintenance strategy's main concept and principle are identified based on the following criteria: data required and collection, data analysis/modeling and decision-making. IBM relies on human senses and common senses to detect energy faults. Any detected energy losses are quantified to energy cost. A payback period analysis is commonly used to justify corrective actions. On the other hand, CBM monitors relevant parameters that indicate energy performance indicators (EnPIs). Data analysis or deterioration modeling is needed to identify energy degradation. For the diagnostics approach, the energy degradation is compared with the threshold to justify corrective maintenance. The prognostics approach estimates when energy degradation reaches its threshold; therefore, proper maintenance tasks can be planned. On the other hand, TBM uses historical data from energy monitoring. Data analysis or deterioration modeling is required to identify degradation. Further analysis is performed to find the optimal time to perform a maintenance task. The comparison between housekeeping, IBM and CBM is also discussed and presented.

The literature on the classification of maintenance strategies for energy efficiency has been limited. On the other hand, the ISO 50001 energy management systems standard shows the importance of maintenance for energy efficiency (MFEE). Therefore, to bridge the gap between research and industry, the proposed concept and principle of maintenance strategies will be helpful for practitioners to apply maintenance strategies as energy conservation measures in implementing ISO 50001 standard.

The novelty of this paper is in-depth discussion on the concept and principle of each maintenance strategy (e.g. housekeeping or IBM, TBM and CBM) for energy efficiency. The relevant literature for each maintenance strategy was also summarized. In addition, basic rules for maintenance strategy selection are also proposed.

The purpose of this paper is to examine the relationship between total quality management (TQM), market orientation and service quality in the Malaysian service industry.

Data from 150 service firms were collected. Structural equation modeling was employed in this study to examine the associations between TQM, market orientation and service quality.

This study provides empirical evidence and confirms findings obtained from previous studies that TQM has a positive and significant relationship with both market orientation and service quality. Moreover, it was discovered that market orientation is also significantly related to service quality.

This research study implies that if firms are not able to comprehend the importance of TQM dimensions, by which the different dimensions of it can influence a firm's performance, they may not succeed in harvesting the full value of market orientation and service quality. Meanwhile, the findings may guide the service practitioners to understand the importance of TQM in their managerial actions in enhancing market orientation and service quality, which serves as a sound foundation for building a distinguished point of differentiation in their services.

Past researchers have not looked into the tri‐dimensional relationship between TQM, market orientation and service quality and hence research is to be called for in this area. The paper provides practitioners with useful guidelines on the appropriate TQM practices to be implemented so that market orientation and the quality of service can be enhanced, creating superior value to the customers in a unique way, which subsequently improves a firm's competitiveness.

Purpose – This chapter provides a roadmap for future research and evaluation on violent extremist risk analysis.

Methodology/Approach – The authors synthesize the lessons learned from process evaluations of general violence risk assessment, bias research, survey designs, linguistic analyses, and spatial analyses, and apply them to the problem of violent extremist risk assessment and management.

Findings – The next generation of violent extremist risk assessment research will necessitate a focus upon process, barriers to effective implementation and taking the human element of decision-making into account. Furthermore, the development of putative risk factors for violent extremist attitudes and behaviors necessitates a movement toward more survey-based research designs. Future risk assessment processes may additionally take language and spatial components into account for a more holistic understanding.

Originality/Value – Based on existing literature, there is a paucity of research conducting process evaluations, survey designs, linguistic analyses, and spatial analyses in this area. The authors provide several roadmaps, assessments of respective strengths and weaknesses, and highlight some initial promising results.

Service quality has been highlighted as the vital element in fulfilling customers' needs, which contributes to the customers' evaluation on the services given. As food truck business is increasingly popular in Malaysia, it is important for the food trucks' service provider to ensure that their service quality meets the standard to satisfy the customers in order to build customer loyalty. Therefore, the aim of this study is to investigate the relationship between food trucks' service quality with customer satisfaction and its impact toward customer loyalty. The customer service was measured using service quality (SERVQUAL) attributes (tangibles, reliability, responsiveness, assurance and empathy).

A quantitative study was conducted to examine the influence of food trucks' service quality on customer satisfaction and its impact toward customer loyalty. A total of 100 food truck customers have been randomly selected to answer the self-administered questionnaire. Data collected were analyzed using frequency, descriptive, reliability, Pearson correlation and regression analysis.

Findings indicated that three out of five attributes of service quality have significant relationships toward customer satisfaction. They are tangibles (β = 0.225, p < 0.05), reliability (β = 0.349, p < 0.05) and assurance (β = 0.311, p < 0.05). Moreover, the customer loyalty (β = 0.643, p < 0.01) has a significant relationship with customer satisfaction.

Service quality can be characterized as the discrepancy between customer service standards and actual service. When expectations are higher than performance, perceived quality is less than acceptable and therefore consumer disappointment exists which eventually decreases customer loyalty toward a product or services. The study suggested that physical image of the food trucks' service like physical facilities, how the service being performed and also courtesy and knowledge of the food trucks' employees are very important to transfer confidence and trust to customers, which then will influence them to be loyal.

Great uncertainty accompanies entrepreneurs’ processes of designing promising business models (BMs). Therefore, stabilising factors act as important means in this process. In this study, we examined the impact of cognitive dispositions and visual BM frameworks on the BM process and outcomes. By using partial-least-square structural equation modelling (PLS-SEM) and an experimental setting, our results show that the stabilising function of BM frameworks depends on entrepreneurs’ cognitive dispositions. This finding contributes to the cognitive BM perspective and explains how cognitive dispositions and visual framing effects act as boundary conditions for the theory of stabilising factors. This also has important implications for applying frameworks in practice.

The purpose of this paper is to examine the relationship between total quality management (TQM) practices and customer satisfaction and also to investigate the association between TQM practices and service quality within the context of Malaysia's small service organizations.

The paper uses data from the perceptions of sales and marketing managers in 108 small service organizations in Malaysia. Data were analyzed by employing correlation and multiple regression analysis to test the relationship between TQM practices, customer satisfaction and service quality.

The results showed that TQM practices are significantly and positively linked to customer satisfaction and service quality of the small service business firms. It was further confirmed that the dimensions of customer focus and information and analysis were strongly linked to customer satisfaction and service quality.

The results of this paper can be used by marketing/sales managers to prioritize the adoption of the dimensions for TQM practices. For instance, those dimensions that are found to have positive influence on customer satisfaction and service quality can be recommended to marketing/sales managers so that they can allocate resources to improve these practices to achieve higher customer satisfaction and quality of service.

This paper identifies two dimensions of TQM namely, customer focus and information and analysis that can influence customer satisfaction and service quality in Malaysia's small service business firms.