Search results

The aim of this research is to analyse the impact of relative advantage, compatibility, ease of use, visibility, voluntariness, image, result demonstrability and trialability on intention to use internet security software using a model developed based on perceived characteristics of innovation by Moore and Benbasat (1991) among undergraduate students.

Using an intercept survey method, 425 responses were collected from a Malaysian public university using a closed questionnaire which was gotten from the literature. The authors used the SmartPLS software which is a second-generation structural equation modelling software that can be used to model latent variables with negligible requirements.

The results show that relative advantage, compatibility, visibility, voluntariness, result demonstrability and trialability had a positive effect on use of internet security software while ease of use and image was not significant.

The most important predictor was trialability which sends a clear signal to software developers that users would like to be able to try the software before making a decision to purchase and use. However, the research is limited to students only. Therefore, future research can be extended to wider population.

The result of this paper provides beneficial information to the internet security software developers about what factors affect users’ intentions to buy their products.

The authors used the comprehensive innovation diffusion theory to test the security behaviour of under graduate students from a developing country’s perspectives. Many other similar studies have been done in the developed country’s context. Thus, this paper adds to the literature from a developing country’s perspective.

This study investigates information quality, information security technology and information sharing with moderation by information security culture and information leakage and how they all play out to influence supply chain performance for contract suppliers (Contract), noncontract suppliers (Noncontract) and pooled suppliers (Contract and Noncontract combined).

Multigroup analysis was deployed to compare the impact on Contract and Noncontract.

The finding on pooled suppliers confirmed the hypothesis that, in the multigroup analysis, information security culture negatively impacted the information quality–information sharing relationship of Contract.

The practical learning point is that Noncontract could still share information and perform and in some instances better than Contract. Noncontract suppliers are still workable.

Information security culture motivated Noncontract to share and perform better than Contract. This result presents a dilemma.

Asia has been transformed into a well-regulated dynamic platform for trade and is today world’s fastest-developing economic region. However, the increasing cross-border economic activities create new opportunities for corruption. The purpose of this paper is to assess the impact of corruption on trade facilitation using logistics performance index (LPI). This paper also examines the moderating effect of governance or government effectiveness (GE) on the relationship between corruption and LPI within Asian countries.

A panel of time-series data from year 2007 to 2014 of 26 Asian countries was collected for analysis. Static linear panel models which comprised of pooled ordinary least squares, fixed-effect model and random-effect model were utilised to analyse the panel data.

The findings show that corruption significantly affects LPI and each of the six dimensions in LPI. The results also show that governance or GE has a moderating effect on the relationship between corruption and LPI.

This study benefits Asian governments to gain a better understanding on influences of corruption on trade facilitation and triggering suggestions of a government role in the relationship. Practically, the results could be used as a guideline in improving national LPI. Besides, the findings could be used to support policy decision to modify corruption regulations at the national and regional levels.

This study reveals that the optimistic view of sands in the wheel overcomes the dark side of the grease in the wheel practices. To be corrupt free or less corrupt is a rare and inimitable resource capability that makes nations logistically competitive.

In the face of information leakage, this study aims to demonstrate pathways to supply chain resilience (SCR) during information sharing by deploying organizational ethical climate (OEC) and information security culture (ISC) as non-punitive mitigation approaches.

This empirical study was conducted to verify the framework using a questionnaire distributed to Malaysian multinational corporations (MNCs) of the manufacturing sector. The data were analysed using structural equation modeling (SEM) techniques with the AMOS software.

This study has confirmed the adverse impact of intentional and unintentional leakages on information sharing effectiveness. The findings showed ISC could reduce the impact of information leakage, but an OCE could not. This study provides evidence that information sharing effectiveness could impact SCR. The former is a mediator between information leakage and SCR, with information leakage moderated by information security culture. These findings convey that multinationals should set up an ISC to reduce information leakage and enhance their SCR.

Prior studies lacked the explanation of the impact of mitigating factors on information leakage in information sharing effectiveness affecting SCR. A framework that explains the relationships add value to organizations making available strategic decisions to curb information leakage and manage SCR.

The purpose of this paper is to analyze the wastewater discharge and a zero-wastewater-discharge (ZWD) reproduction plan is designed for a paper mill in Taiwan.

The proposed model of ZWD reproduction planning is established using the fuzzy comprehensive evaluation and Taguchi method to determine the overall wastewater recovery rate. Still the prior studies failed to address a systematic approach to optimize the waste water recovery rate.

The optimal solution for clean water is 500 tons, recovery electrodialysis reversal is 345 tons, the wastewater reuse performance is 1.3 and waste heat recycling performance is 0.8, the larger number is performed well. The results shows that the maximum overall waste water recovery rate is 97.8 percent.

A paper mill is strived for improving their sustainable development. In real situation, there is a need to address the qualitative information and qualitative data to carry out the optimal ZWD reproduction planning.

The purpose of this paper is to contribute to the understanding of social sustainable consumption in the context of improved ridership in public bus transport (PBT). It investigated the social predictors and implementation intention of drivers to use PBT.

The empirical data were collected through online survey. The respondents of the online survey were 313 drivers in Penang, Malaysia. A conceptual model was designed to test implementation intention of the drivers in using the PBT. Data analysis was performed using the variance-based structural equation modeling technique of partial least squares.

The findings indicate that the drivers’ intention to use PBT is significantly influenced by their referent group, gender role, and commitment to environment. In addition, their implementation intention is significantly predicted by the intention to use PBT.

This study was performed in Penang using convenience sampling method. The results need to be replicated using a different sample in other developing countries to test its stability.

Policy makers and transport managers need to be guided by the importance of the drivers’ referent group, gender role, commitment to environment, and intention in order to improve ridership of the PBT.

The research on referent group, gender role, commitment to environment, intention, and the implementation intention of the drivers using the theory of interpersonal behavior in PBT is unprecedented.

The purpose of this paper is to explore various efficiency aspects of banks in Association of Southeast Asian Nations (ASEAN) in light of their remarkable growth in recent years.

The authors used various data envelopment analysis technique to measure the relative efficiency for a sample of 39 banks in four ASEAN countries over 2000-2010.

The analyses reveal three findings: first, Malaysian banks are more efficient comparatively to the other three ASEAN countries. Second, large-sized banks in ASEAN are less cost efficient. Third, government banks in the ASEAN region exhibit a substantial improvement in efficiency throughout the years, in contrast to the non-government banks.

Efficiency analysis of banks in ASEAN countries, particularly covering this large period, that is, from 2000 to 2010 is very limited, in fact nil. Hence, this paper contributes to the finance and banking areas by providing a detail analysis of banks’ performance in the ASEAN region. This paper thus provides powerful insights to policy makers and bank managers in setting appropriate strategy for financial institutions in the region.

The purpose of this paper is to explore the human factors triggering information leakage and investigate how companies mitigate insider threat for information sharing integrity.

The methodology employed is multiple case studies approach with in-depth interviews with five multinational enterprises (MNEs)/multinational corporations (MNCs).

The findings reveal that information leakage can be approached with human governance mechanism such as organizational ethical climate and information security culture. Besides, higher frequency of leakages negatively affects information sharing integrity. Moreover, this paper also contributes to a research framework which could be a guide to overcome information leakage issue in information sharing.

The current study involved MNCs/MNEs operating in Malaysia, while companies in other countries may have different ethical climate and information sharing culture. Thus, for future research, it will be good to replicate the study in a larger geographic region to verify the findings and insights of this research.

This research contributes to the industry and business that are striving toward solving the mounting problem of information leakage by raising awareness of human factors and to take appropriate mitigating governance strategies to pre-empt information leakage. This paper also contributes to a novel theoretical model that characterizes the iniquities of humans in sharing information, and suggests measures which could be a guide to avert disruptive leakages.

This paper is likely an unprecedented research in molding human governance in the domain of information sharing and its Achilles’ heel which is information leakage.

The purpose of this paper is to investigate how supply chain management (SCM) practices and knowledge management (KM) capabilities affect firm performance. This study was conducted in the Asia Pacific region, which had not been examined before.

A three‐phase statistical analysis which comprised phase one (convergent validity, reliability, and discriminant validity), phase two (mediated regression analysis) and phase three (path analysis) was used to analyze the data.

The results from this paper have shown that the implementation of SCM practices will interact with KM capabilities to influence firm performance.

The proposed model does not consider firm performance from multiple perspectives. In addition, the use of longitudinal data would be more useful to examine how changes in certain variables affect performance.

These findings provide important insights for managers to understand the disposition of the firm to better leverage internal capability (knowledge), by exploiting relationships with supply chain partners.

This paper has extended knowledge in the mainstream management and provides valuable clues on how to improve organizational effectiveness, which is the crux of management.

The paper is among the first empirical works that specifically investigate the relationships between KM and SCM; thus this paper fills an important gap in the supply chain literature.

This paper aims to illustrate the use of data envelopment analysis (DEA) in measuring internal supply chain performance.

Two DEA models were developed – the technical efficiency model and the cost efficiency model. The models are further enhanced with scenario analysis to derive more meaningful business insights for managers in making resources planning decisions.

The information obtained from the DEA models helps managers to identify the inefficient operations and take the right remedial actions for continuous improvement. More importantly, the opportunity cost (forgone profit) calculated serves as a good reference to managers to make efficient decisions on resource allocations.

Results are based on the deterministic data set. Future enhancement of the study would be to look into the possibility of modeling DEA in a stochastic supply chain environment (non‐deterministic) due to the fact that supply chain operates in a dynamic environment.

The proposed DEA‐based approach provides useful managerial implications in the measurement of supply chain efficiency. The study proves the usefulness of DEA as a decision‐making tool in supply chain.

This paper provides useful insights into the use of DEA as a modeling tool to aid managerial decision making in measuring supply chain efficiency.