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Online purchase intention of electronic goods based on online customer reviews (OCRs) among females in Kuala Lumpur
No full textThe purpose of this study is to examine the relationship between electronic word-of-mouth (e-WoM), source credibility, perceived risk and trust to online purchase intention of electronic goods based on online customer reviews among females in Kuala Lumpur during the Covid19 Movement Control Order (MCO) 1.0 to MCO 3.0. The questionnaire was distributed online. A total of 389 feedback were received but only 384 feedbacks are usable. The data were analysed using the Statistical Package for Social Science (SPSS) Version 26. The results indicated that all independent variables are significantly and positively related to online purchase intention of electronic goods based on online customer reviews. The most influential variable is perceived risk, followed by e-WoM and trust. Therefore, this study highlighted that online customer reviews does play an important role in enable customer to assess the risk associated with any online purchase
The relationship between trustworthiness, congruence, likeability, and advertisement of celebrity endorsement in social media towards consumer purchasing intention
No full textCelebrity endorsement is used by businesses to attract customer attention with the intention to lead them to make a purchase. Previous studies cover various group of customers and products. The purpose of this study is to investigate the relationship
between trustworthiness, congruence, likeability, and advertisement of celebrity endorsement in the social media towards consumer purchasing intention. The target respondents are teachers in the state of Selangor. The questionnaire was developed from previous related study in celebrity endorsement. The questionnaire was
distributed online, as it was during the Covid19 quarantine period. From the total received, only 200 questionnaires were useable. All respondents have at least one social media account and are exposed to advertisement endorsed by celebrity in the social media. Most of the respondents also follow at least one celebrity. The data collected are analysed using the SPSS version 26. All independent variables are positively and moderately related to consumer purchase intention. It can be concluded that celebrity endorsement is still impactful, even in social media platform, to attract consumers towards their product that could lead to product purchase eventually. Therefore, businesses should take advantage of celebrity endorsement to promote their products
The impact of transformational leadership and transactional leadership on crisis management through charismatic leadership communication in emergency relief department in the United Arab Emirates
Get PDFThe aim of the study is to examine different leadership styles on the effectiveness of crisis management in the business sector in the United Arab Emirates, by defining the relationship between transformational leadership and crisis management and determining the relationship between transactional leadership and crisis management. In addition, determining the relationship between charismatic leadership and crisis management, as well as examining the mediating role of charismatic leadership communication, in light of the mediating role of charismatic leadership communication. The study assumes that crisis management in the business sector and the communication role of charismatic leadership could be measured in numbers and a prediction can be obtained from the analysis. Therefore, the study adopts philosophy of positivism, deduction approach, quantitative methodology, empirical study that has been initiated and cross-sectional data has been used with original data. The target study population is the managers of the employees of small and medium-sized companies (business enterprises) registered, listed and participating in foreign operations such as franchising or exporting in the United Arab Emirates. The actual sample size is 304 employees and the distributed survey is 370, which is distributed using face-to-face data collection methods in a convenient sampling technique. In general, the direct relationships between the three predictors of the effectiveness of crisis management in the business sector are important, overall, the model was successful because it could predict 94.6% of the effectiveness of crisis management in the business sector. The precedence of the relationships based on the value of the path coefficient for the model relationships is transformational leadership (0.452), transactional leadership (0.291), and charismatic leadership (0.521). While the precedence of the relationships based on the value of the path coefficient for the relations of continuity of quantitative leadership mediated by the model showed two important positive interactions; first, transformational leadership and crisis management effectiveness (0.082), and second, transactional leadership and crisis management effectiveness (0.151). The effectiveness of crisis management in the business sector does not have much change based on the mediating role of charismatic leadership communication
Crisis response strategy, crisis responsibility, and perceived organizational reputation – The mediating role of charismatic leadership communication and moderating role of international learning orientation
Get PDFWhen an incident of death in custody occurred, the United Arab Emirates (UAE) Police Force would normally adopt a denial approach as its early crisis response management strategy. This practice seems to demonstrate the organization’s lack of accountability and transparency in dealing with the crisis. Therefore, the study intends to examine such practices and their impacts on the reputation of the UAE Police Force. It also assesses the mediating influence of charismatic leadership communication and moderating role of international learning orientation on the organization’s perceived reputation. This study is based on quantitative research methods using survey techniques for collecting primary data. Coombs’ Situational Crisis Communication Theory is employed in this study with the focus of investigating the victims who reportedly died under the custody of the UAE Police Force. The independent variables consisted of crisis management, charismatic leadership, and international learning orientation. The sampling population comprised 17,500 officers attached to the police forces of the Emirates of Fujairah and Sharjah, with the sampling size of this study being 226. The technique used for selecting samples is proportionate stratified random sampling. Moreover, a partial least square structural equation modelling technique was applied. Concerning the time frame, this study analyzed cross-sectional data collected in 2019. Based on the partial least square structural equation modelling, the findings reveal that crisis response strategy, crisis responsibility, and charismatic leadership communication have a significant impact on perceived organizational reputation. Likewise, the mediating role of charismatic leadership communication has also been found to be substantial in influencing this reputation. Finally, the moderating role of international learning orientation was also significant. Overall, the model was capable of explaining 72.4% change because of the selected exogenous variables. The overall model is of significance and the findings are critical for the relevant policymakers as the issue of the perceived reputation of an organization is a serious matter and needs proper attention
Mobile learning experience and self-directed learning readiness on mobile task-based activity performance: a case study among postgraduate students
Get PDFMobile devices have a wide array of capabilities, including accessing unlimited information and self-learning for students. This study aimed to identify postgraduate students' experiences performing task-based activities on mobile devices and preparing for self-directed learning. This mobile task-based activity is an educational practice that combines education and assessment. The researcher used a targeted sample of 34 postgraduates from a public university in Malaysia. This study used a mixed-method case study design with qualitative and quantitative data for triangulation. The researcher gathered quantitative data through online questionnaires and evaluations based on mobile devices. Questionnaire data were analyzed using descriptive statistics and paired t-sample analyses, while mobile-based assessments were analyzed using a rubric. Qualitative data were collected through learning logbooks, reflective writing, and semistructured interviews and analyzed thematically. The survey results of descriptive statistical analysis have shown that students’ prior knowledge and learning experience using mobile technology is more modest. However, post-study findings prove that students who use laptops and smartphones for task-based activities on mobile devices gain more experience. The Wilcoxon Signed-Ranks test showed that students’ post-test readiness for self-directed learning was more significant than the pre-test. Assessments of mobile devices indicate that students perform at an advanced and competent level. Thus, this study shows that mobile task-based activities can improve students’ learning experiences in a significant way and develop self-directed learning skills. These results could assist further studies on mobile devices for learning and assessment purposes. The implications of this research are to cultivate students' experience of meaningful mobile learning and self-directed learning skills
Participatory monitoring for system of rice intensification – farmer field school program in West Malaysia: perception and influential factors
Get PDFParticipatory monitoring (PM) has increasingly been adopted in Farmer Field School (FFS) approaches. However, one of the biggest challenges is data management, as it is often led by externals without farmers’ involvement. Therefore, this study aimed to investigate perceptions and identify influential factors that enable farmers' and master trainers’ participation in PM. It eventually aimed to propose a framework f or participation in PM using the System of Rice Intensification (SRI) – Farmer Field School program in West Malaysia. A qualitative case study research design was employed in which the population was selected through a purposeful sampling technique. Then, the data collection through semi-structured interviews occurred from October 2020 until April 2021 in three locations. The thematic analysis method was used for data analysis. The findings revealed that the farmers' and master trainers’ perception was favourable, particularly regarding the phase of data collection and the use of digital applications to monitor field-level results. Indeed, the use of WhatsApp improved decision-making of SRI related innovations. The influential factors that enable participation in monitoring SRI-FFS were identified in the extrinsic factor of characteristics, the intrinsic factors of perception, knowledge, and attitudes. The results indicate that perception and knowledge influenced positive attitudes. Furthermore, the results revealed that the indicators of commitment and trust strengthened the influential factor of attitudes by integrating social values and practices like collective work and mutual assistance. This study concludes by proposing a framework that shows the interplay between the perception, knowledge, and attitudes that determine participation in PM. Additionally, its significance lies in the demonstration that PM is an effective tool to enhance farmers' decision-making as agricultural extension agents, thus promoting agrobiodiversity-based farming and innovation in FFS community. Future research can broaden the geographical scope, and deepen the understanding of the data analysis and use
Enhancement on the modified artificial bee colony algorithm to optimize the vehicle routing problem with time windows
Get PDFThe vehicle routing problem with time windows (VRPTW) is a non-deterministictime hard (NP-hard) with combinatorial optimization problem (COP). The Artificial Bee Colony (ABC) is a popular swarm intelligence algorithm for COP. In this study, existing Modified ABC (MABC) algorithm is revised to solve the VRPTW. While MABC has been reported to be successful, it does have some drawbacks, including a lack of neighbourhood structure selection during the intensification process, a lack of knowledge in population initialization, and occasional stops proceeding the global optimum. This study proposes an enhanced Modified ABC (E-MABC) algorithm which includes (i) N-MABC that overcomes the shortage of neighborhood selection by exchanging the neighborhood structure between two different routes in the solution; (ii) MABC-ACS that solves the issues of knowledge absence in MABC population initialization by incorporating ant colony system heuristics, and (iii) PMABC which addresses the occasional stops proceeding to the global optimum by introducing perturbation that accepts an abandoned solution and jumps out of a local optimum. The proposed algorithm was evaluated using benchmark datasets comprising 56 VRPTW instances and 56 Pickup and Delivery Problems with Time Windows (PDPTW). The performance has been measured using the travelled distance (TD) and the number of deployed vehicles (NV). The results showed that the proposed E-MABC has lower TD and NV than the benchmarked MABC and other algorithms. The E-MABC algorithm is better than the MABC by 96.62%, MOLNS by 87.5%, GAPSO by 53.57%, MODLEM by 76.78%, and RRGA by 42.85% in terms of TD. Additionally, the E-MABC algorithm is better than the MABC by 42.85%, MOLNS by 17.85%, GA-PSO and RRGA by 28.57%, and MODLEN by 46.42% in terms of NV. This indicates that the proposed E-MABC algorithm is promising and effective for the VRPTW and PDPTW, and thus can compete in other routing problems and COPs
Factors affecting job performance: an emprical approach
Get PDFThe main aim of this study is to investigate impact of job satisfaction, organization commitment, work engagement and work environment on academic and non-academic staffs in universities in Lagos, Nigeria. The study indicates a strong significance of the
variables in explaining employees’ performance within the context of universities in Lagos, Nigeria. The study adopts quantitative research method of primary source was utilized to collect the data from two hundred and seventy-one academic and nonacademic
staff respondents by using probability sampling technique and data collected and analyzed by using Statistical Package for Social Science (SPSS). The scope is centered on academic and non-academic staffs which warranted distribution and collection of questionnaires among academic and non-academic staffs of eight selected universities within Lagos state universities which are Anchor University, Augustine University, Caleb University, Christopher University, Lagos State University (LASU), National Open University (NOUN), Pan African University, University of
Lagos(UNILAG). The questionnaire is designed with a close-ended question. The data were analyzed using different statistical techniques such as reliability survey, descriptive of variable analysis, correlation analysis (Pearson Correlation Analysis) and regression analysis (Multiple Regression Analysis). The regression results indicate that all independent variables which are job satisfaction, Organization commitment, Work engagement and Work environment are positively correlated with the dependent variable which is Job performance. However, the study concludes that for effective Job performance to be enhanced, the level of motivation needs to be improved. This would determine the sustainability or otherwise of organizational goals either private or public sectors
An enhanced air pollution index via aggregation of subjective and objective weights of the pollutants
Get PDFnote=abstract tidak boleh dimasukan disebabkan sistem etd tidak terima-simbol-simbol dalam abstrac
Hesitant fuzzy network topsis methods with the incorporation of z-numbers and social network analysis for small and large scale group decision making
Get PDFIt is critical to arrive at an acceptable level of consensus in a group for an agreeable and implementable decision. The evaluation of alternatives in conventional TOPSIS decision making does not take into account the inherent vagueness of information as it requires a systematic decision-making process in which relies on numerous
conditions and unpredictable situations. It is common in deciding the best choice with the highest satisfaction degree that are evaluated based on attributes. However, two or more alternatives with the same or nearest satisfaction degree would lead to hesitancy in the decision. Thus, fuzzy network TOPSIS is incorporated with the hesitant fuzzy set is developed namely hesitant fuzzy network TOPSIS. Nevertheless, the reliability of decisions by experts and the complexity in large scale are less highlighted in hesitant fuzzy network TOPSIS. Therefore, this study aims in formulating hesitant fuzzy network TOPSIS with the incorporation of Z-numbers.
The formulation also implies social network analysis for large-scale group decision making. In this study, four new fuzzy network TOPSIS are developed in small scale and large-scale group decision making. The proposed methods enhance the transparency and reliability by incorporating fuzzy network and Z numbers respectively. In addition, social network analysis is suitable for dealing with the complexity involved in large scale group decision making. For the practicality and
the effectiveness of the proposed methods in a realistic scenario, a case study of stock selection and the analysis of results comparing proposed methods to the established methods has been considered. The ranking of the proposed methods are validated comparatively using performance indicators namely Spearman rho correlation, Root Means Squared Error, and Absolute Distance by assuming ranking
based on Return on Investment as a benchmarking. Based on the case study, the proposed methods outperform the established methods in terms of average rank position. In conclusion, the proposed methods contribute significantly toward the implementation of small scale and large scale group decision making using hesitant
fuzzy set, fuzzy network and Z numbers