Browsing by Author "Thurasamy, Ramayah"

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A Systematic Literature Review of Routine Activity Theory's Applicability in Cybercrimes
(Daffodil International University, 2022-06-06) Ahmad, Rahayu; Thurasamy, Ramayah
Cybercrimes are increasing at an alarming rate and cause detrimental effects to the victims. Routine Activity Theory (RAT) is commonly used to understand the factors influencing cybercrime victimization. However, there have been inconsistent findings on the applicability of RAT theory. This study performs a Systematic Literature Review analysis to consolidate and provide a coherent analysis of the related studies employing RAT theory for cybercrime victimization. The articles were also differentiated based on the cybercrimes topologies being investigated; (a) cybercrime dependent (hacking and malware) and (b) cybercrime enabled (phishing, fraud and identity theft). The findings suggest that a refined specification and operationalization of RAT’S construct tailoring to the types of cybercrimes can arguably yield more accurate application and interpretation of RAT Theory in cybercrimes. Consequently, this will address the inaccurate measurement issues of some of the RATS’s constructs, leading to inconclusive effects on cybercrime victimization. In addition, there is a need for more longitudinal studies to disentangle the effect of RAT’s construct during pre and post cybercrimes. Security advocates can apply the findings of this research to formulate relevant cybercrime awareness programs. The findings also shed some insights into which groups should be targeted for different cybercrime educational and awareness programs. This study can increase the awareness among citizens in terms of their online activities, their attributes and the types of protection from becoming cybercrime victims.
Addressing Common Method Bias, Operationalization, Sampling, and Data Collection Issues in Quantitative Research
(Elsevier, 2023-06-20) Memon, Mumtaz Ali; Thurasamy, Ramayah; Cheah, Jun-Hwa; Ting, Hiram; Chuah, Francis; Cham, Tat-Huei
When editing regular and special issues of numerous journals, we have observed several recurring shortcomings in the manuscripts, particularly in relation to methodology. Many of these manuscripts are often found lacking in providing critical methodological information or justifying the use of the selected methods, thus resulting in desk rejection at the preliminary stage or major revision in the review process. Although the theoretical and managerial aspects of manuscripts are essential to publication consideration, methodological flaws can be detrimental. It is therefore of no surprise that failures to address methodological concerns are some of the common reasons for a manuscript to be rejected from publication, even after going through several rounds of revision. The purpose of this editorial is to provide clear guidelines on effectively reporting the methodological section in a quantitative manuscript in the fields of business and social sciences. Specifically, we present a set of recommendations on implementing and reporting operationalization, instrument validation, sampling techniques, questionnaire administration, and common method bias. Researchers, whether students or academics, should consider these guidelines to ensure methodological rigor in their research projects.
Applied Artificial Intelligence: Acceptance-Intention-Purchase and Satisfaction on Smartwatch Usage in a Ghanaian Context
(Elsevier, 2023-07-26) Uzir, Md Uzir Hossain; Bukari, Zakari; Halbusi, Hussam Al; Lim, Rodney; Wahab, Siti Norida; Rasul, Tareq; Thurasamy, Ramayah; Jerin, Ishraq; Chowdhury, M Rezaul Karim; Tarofder, Arun Kumar; Yaakop, Azizul Yadi; Hamid, Abu Bakar Abdul; Haque, Ahasanul; Rauf, Abdur; Eneizan, Bilal
Technology and its continuous advancement facilitate human beings to get rid of their criticality and limitation. Applied artificial intelligence (AAI) is one of the latest forms that delimited the limitation of human beings. Smartwatch acts as an applied artificial intelligence to assist various patients to check medical care without going to hospital and physicians. This (three) multiple-study research focused on the intention to use, purchase, and their satisfaction and spread positive word of mouth among others in the Ghanaian. To investigate these issues two renowned theories were underpinned- TAM theory and the Stimulus-Organism-Response (S–O-R). Total 550, 320, and 170 respondents were interviewed with Google forms due to COVID-19 using social media. AI-enabled smartwatch considering Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Perceived Credibility (PC), Perceived Self-Efficacy (PSE), and Perceived Financial Cost (PFC) were significant on intention to adoption and adoption intention on actual purchase. The final study showed device quality, its service level, their usage experience, perceived value, and the extent to which the satisfied customers made positive word of mouth to their friends and family, colleagues and followers. This research is significant in understanding the usage of AI-enabled smartwatches as a device doctor or electronic doctor (e-doctor).
COVID-19 Impact on Dairy Sector: The Mediating Role of Knowledge Sharing and Trust on Innovation Capability
(African Online Scientific Information Systems, 2023-01-19) Ahmad, Israr; Thurasamy, Ramayah; Shahzad, Arfan; Ullah, Muhammad I.; Hussain, Arsalan; Ansari, Hafiz Waqas Ahmed
Background: In the current era, innovation has become the basis for the success of all industries. In reality, fast innovation facilitated by rapidly changing technological discoveries is critical to global economic progress. Aim: The primary goal of this article is to examine the effect of knowledge exchange and development of supervisory support, trust, training, information technology, and industrial cluster resources on innovation capabilities in the dairy sector of Pakistan. Setting: From a total of 520 small and medium enterprise (SMEs) dairy farms, 227 owners and managers were carefully chosen to participate in the survey. Method: The current study’s research framework was based on the resources and diffusion of innovation perspective theories. The data were gathered from dairy farm owners and managers in Punjab, Pakistan. SmartPLS-SEM was used to examine the multivariate connection among the variables. Results: The current research finds that training and development, supervisory assistance, and industrial cluster resources strongly influence knowledge sharing. Furthermore, trust has a favourable influence on innovative capabilities. However, the mediation effect of knowledge sharing (KS) did not support information technology (IT) training and development (T&D) and innovative capabilities (IC). Conclusion: According to findings in the study, T&D as a form of learning connect employees through the sharing of new ideas, allowing the business to improve and the concept to be modified. This study found that supervisory assistance significantly impacts innovative capabilities and knowledge sharing.
Effects of Stores’ Environmental Components on Chinese Consumers’ Emotions and Intentions to Purchase Luxury Brands
(Daffodil International University, 2022-04-08) Yang, Shaohua; Isa, Salmi Mohd; Wu, Hongyan; Thurasamy, Ramayah; Fang, Xi; Fan, Yedan; Liu, Danping
Purpose: Drawing upon the stimulus-organism-response (S-O-R) model, this paper aims to investigate the effects of stores’ environmental components (i.e., lighting, cleanliness, scent, design, layout, music, and employee interaction) on Chinese consumers’ emotions and intentions to purchase luxury brands. Design/Methodology/Approach: Data were collected from Chinese consumers who have purchased luxury brands from retail stores. Partial least squares-structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) were employed for data analysis. Findings: The results of PLS-SEM indicated that three dimensions of the store environment (i.e., music, scent, and employee interaction) directly and significantly influenced Chinese consumers’ emotions. However, fsQCA revealed greater heterogeneity among respondents by highlighting stores’ environmental components and Chinese consumers’ emotions. Originality/Value: This study makes significant contributions to the marketing literature by examining the S-O-R model alongside fsQCA approach to conditionally predict outcomes in a luxury brand context. The present study may be one of the first to examine the effects of stores’ environmental components on Chinese consumers’ emotions and purchase intentions, applying both symmetrical test (PLS-SEM) and asymmetrical test (fsQCA) approaches to determine significant components of the store environment as well as component combinations that predict Chinese consumers’ emotions and purchase intentions.
Employees’ Perceptions of Green Supply-Chain Management, Corporate Social Responsibility, and Sustainability in Organizations
(MDPI Publications, 2023-07-04) Mughal, Yasir Hayat; Nair, Kesavan Sreekantan; Arif, Muhammad; Albejaidi, Fahad; Thurasamy, Ramayah; Chuadhry, Muhammad Asif; Malik, Saqib Yaqoob
(1) Background: The increasing level of concern over reduction non-renewable resources, global warming, pollution, and social issues has led firms to initiate green and social activities. Furthermore, there is limited empirical evidence on the potential impact of green initiatives, corporate social responsibility (CSR), and reflective moral attentiveness (RMA) on sustainable performance. The purpose of this study was to investigate the mediating effect of reflective moral attentiveness (RMA) on the relationship between green supply-chain-management practices (GSCM) and CSR on sustainable performance. Based on the natural-resource-based view, stakeholder resource-based view, and signaling theory, this study investigated the role of GSCM practices and CSR in sustainable performance using cross-sectional data from the manufacturing and services industries from Khyber Pakhtunkhwa province, in Pakistan. (2) Methods: Using a non-probability convenience-sampling method, 500 employees were selected from the firms which are listed on the Pakistan stock exchange (PSE) and questionnaires were distributed. Complete questionnaires were received from 380 employees and used in the analysis, yielding a response rate of 76%. Partial least squares structural equation modeling (PLS-SEM) software was used for the confirmatory-factor analysis (CFA) and the testing of the hypotheses. The CFA results revealed the reliability and validity of the questionnaires. (3) Results: The results of the structural model (hypotheses testing) show that four attributes of GSCM practices (internal environmental management, green purchasing, cooperation with customers, and eco-design) have a positive influence on sustainable performance, while investment recovery and CSR were found to be insignificant. Moreover, there were significant and positive influences of GSCM and RMA on sustainable performance. On the other hand, control variables, such as gender, experience, and age, were found to have no significant role in sustainable performance. A further analysis revealed that reflective moral attentiveness mediated the relationship between GSCM, CSR, and sustainable performance. (4) Conclusions/implications: This study has several implications for green services and manufacturing firms specifically and for practitioners, researchers and academics in general. The innovation and novelty of this study lie in its determination of the contribution of RMA, GSCM, and CSR to achieving sustainable performance. Firms can improve their clean production activities by incorporating this model as a strategy. Future studies may add moderators and mediators to explore the impact of CSR and GSCM practices upon sustainability.
End Users' Resistance Behaviour Paradigm in Pre-Deployment Stage of ERP Systems
(Scopus, 2021) Alzahrani, Ahmed; Mahmud, Imran; Thurasamy, Ramayah; Alfarraj, Osama; Alwadain, Ayed
Purpose This study proposes a research model to identify the relevant constructs of employee resistance and symbolic adoption in pre-implementation stage of enterprise resource planning systems in manufacturing industries, drawing suitable support from the existing body of literature. The proposed model is a combination of the status quo bias theory and absorptive capacity theory to measure employee resistance that negatively lead to symbolic adoption of a user. Design/methodology/approach This research used a self-administered questionnaire to survey 221 participants from five organizations in the manufacturing industry, all working towards deploying enterprise resource planning (ERP) systems. Findings The results show that factors contributing to status quo bias and absorptive capacity impact end-user grumbling. Furthermore, end-user grumbling affects symbolic adoption substantially. Practical implications This study provides researchers, practitioners and ERP vendors a broader overview of employees' resistance and motivation for using newly deployed systems. Originality/value In the past two decades, both practitioners and academicians are investigating the technical and non-technical features that assist end-users to adopt the system. Information system theories center on the post-deployment stage, with rare attempts to identify users' resistance and mental willingness to accept technology in the pre-adoption phase, which is very crucial for the success of ERP.
Examine the Role of Organization Justice in Predicting Turnover Intention Among Employees
(2024-12-24) Yusoff, Noor Azlina; Thurasamy, Ramayah; Yusliza, Mohd Yusoff; Faezah, Juhari Noor
This study investigates the impact between two important variables in the workplace - organizational justice and turnover intentions in the higher education sector. The study focuses on the higher education sector, where employee retention is critical. Data from academic staff employed in higher education institutions were acquired from a convenience sample through a self-reported online questionnaire from November 2021 until January 2022. The sampling technique involved reaching out to academic staff through research universities. In order to obtain data quantitative, questionnaires included multiple items replicated from earlier studies. Out of the 500 academic staff members who were sampled, 304 responded, resulting in a response rate of 61.00%. These 304 responses were included for analysis. To evaluate the proposed hypothesis, we conducted a statistical analysis using the partial least squares (PLS) structural equation modeling (SEM) technique in Smart PLS 4.0 software. The relationship between distributive justice and interactional justice was found negatively related to turnover intention among academic staff in research universities while procedural justice was not related to turnover intention. These findings also provide valuable insights into the impact of organizational justice on employee retention in the higher education sector. The findings could have implications for employers, human resource practitioners, and policymakers looking to understand the factors influencing employee turnover in this sector. In conclusion, the study highlights the significance of the study and its potential to contribute to the existing literature on organizational justice and turnover intentions. The study demonstrates the importance of creating a just workplace culture in higher education and its potential impact on employee retention. Future research limitations and recommendations are also outlined in the report
Experiences of occupational balance following retirement: An interpretative phenomenological analysis [Expériences d'équilibre occupationnel après la retraite : une analyse phénoménologique interpretative]
(2024-04-02) Mohamad Sabri, Mohamad Qayum; Thurasamy, Ramayah; Che Daud, Ahmad Zamir
Achieving occupational balance is crucial for promoting retirees’ health and well-being, but little is known about how retirees in Malaysia experience occupational balance after retirement. This study explored the experiences of occupational balance among 12 retirees in Malaysia, aged 60 years and above, using interpretative phenomenological analysis of online one-to-one in-depth interviews. The essence of occupational balance experiences was described in four superordinate themes: satisfaction through occupation, occupational proportion, achieving occupational balance, and challenges towards occupational balance. Retirees reported experiencing occupational balance through engaging in satisfying occupations and balancing the proportions of their occupations. To achieve occupational balance, they desired to socialise with friends and family members and remained active, but faced challenges related to health, finances, and the COVID-19 pandemic. The findings of the current study have implications for retirees, their families, and policymakers seeking to promote successful ageing and quality of life. By focusing on Malaysian retirees, the study contributes to the understanding of occupational balance in a non-Western context, thereby enriching the cultural diversity of research within occupational science. However, it also highlights the need for future occupational science research on how occupational satisfaction, proportions, participation, health status, financial status, and COVID-19 impact occupational balance in the retiree population.
Fear of Covid-19 and Burnout Among Healthcare Providers in Malaysia
(Wolters Kluwer Health, Inc., 2023-07-15) Ching, Siew-Mooi; Thurasamy, Ramayah; Cheong, Ai Theng; Yee, Anne; Ling, Poh Ying; Zarina, Irmi Ismail; Lee, Kai Wei; Ng, Jun Ying; Rahim, Rofina Abdul; Noor, Mohd Khairi Mohd; Cheng, Chang Li; Nazan, Ahmad Iqmer Nashriq Mohd; Salleh, Hafizah Md; Hassan, Noor Hasliza
Introduction: During the COVID-19 pandemic, healthcare providers have been in great fear due to the high risk of contracting COVID-19 infection at any time. This study aimed to determine the mediating role of resilience on the relationship between fear of COVID-19 and burnout in primary care healthcare providers in Malaysia. Methods: This was an online cross-sectional study involving 1280 healthcare providers aged 18 years and older from 30 govern- ment primary care clinics in Malaysia. We used the COVID-19 Fear Scale, the Copenhagen Burnout Inventory Scale, and the Short Brief Resilience Scale to collect data from the respondents. Smart-PLS was used to perform mediation analysis. Results: The mean age of the respondents was 36 years old and mean duration of working experience was 11 years. The majority of the respondents were female (82.4%) and Malays (82.3%). The study population con- sisted of nurses (47.4%), doctors (26%), medical assistants (11.9), healthcare assistant (7.1%), medical laboratory technicians (6.4%) and drivers(1.3).The results show that fear of COVID-19 positively predicts burnout. According to the results, resilience mediates the relationship between fear of COVID-19 and all the three burnout domains, namely personal burnout (β=0.175,p<0.001), work-related burnout (β=0.175,p<0.001) and client-related burnout (β=0.172,p<0.001). Additionally, resilience reduces the impact of COVID-19 fear on the three domains of burnout. Conclusion: Our study has reported a mediating effect of resilience on the relationship between fear of COVID-19 and burnout.
Flying to your home yard: the mediation and moderation model of the intention to employ drones for last-mile delivery
(2024-09-12) Ngah ;, Abdul Hafaz; Thurasamy, Ramayah; Rahi, Samar; Kamalrulzaman, Nurul Izni; Rashid, Aamir; Long, Fei
Drones will become part of daily lives similar to smartphones becoming a staple of modern living. Nonetheless, only several past studies investigated the intention to utilise drones for parcel delivery however, the intention to use drones among online shoppers was not fully explored. The study attempts to investigate the factors influencing the intention to use drones for last-mile delivery. A total of 292 data were gathered via an online survey among online shoppers applying a snowball sampling method. Since the study operationalised the measures as composites, a combination of reflective and formative measurement, and the study focusses on predictive purposes, partial least squares structural equation modelling with SmartPLS 4 was applied to test the model developed based on the stimulus-organism-response model. The analysis found that all the direct hypotheses were found supported. Moreover, Green support, green desire and pro-environmental behaviour positively and sequentially mediated future orientation and intention, whereas technology anxiety and perceived safety moderated the relationship between pro-environmental behaviour and intention. The respondents only limit to the online shoppers in Malaysia which based on purposive sampling method, thus the findings cannot be generalized to another countries. Besides enriching the literature on drone studies, the findings provided practical insights to online platforms and drone operators to develop an effective strategy to encourage online shoppers to shift from conventional delivery to drone delivery. The study developed a new model for drone delivery studies using the S-O-R model in introducing orientation towards the future and green support as the stimulus, green desire as an organism and pro-environmental behaviour and usage intention as a response. The study introduced multiple sequential mediators, also contributing to the S-O-R model to predict online shoppers' behaviour towards drones as a tool for last-mile delivery. Another important contribution, technology anxiety and perceived safety were confirmed to have a moderation effect for the relationship between pro-environmental behaviour and intention to use drones for last-mile delivery.
If You Don’t Care, I Will Switch: Online Retailers’ Behaviour on Third-Party Logistics Services
(Emerald Publishing Limited, 2023-05-04) Ngah, Abdul Hafaz; Thurasamy, Ramayah; Han, Heesup
Purpose The issue is which third-party logistics to engage, and escalating customer complaints about service quality of third-party logistics (3PL) enhances the tendency of online retailers to switch to another 3PL. The current study seeks to investigate the factors influencing the satisfaction and switching intention of 3PL services among online sellers in Malaysia. Design/methodology/approach Applying a purposive sampling method, data were gathered via an online survey among online sellers. Initially, the system gathered 418 respondents, but only 311 were useable for further analysis. Since we operationalised the measures as composites, a combination of reflective and formative measurement in the study and the study focuses on explanatory and predictive purposes, partial least squares structural equation modelling with SmartPLS 4 was applied to test the model developed. Findings The results indicated that conflict handling had a positive effect on satisfaction, and satisfaction had a negative relationship with the switching intention of 3PL among the online retailers. Moreover, satisfaction and customer relationship management sequentially mediated conflict handling and switching intention, whereas CRM strengthens the negative relationship between satisfaction and switching intention. Research limitations/implications The respondents only limit to the online sellers in Malaysia which based on purposive sampling method, thus the findings cannot be generalised to another countries. Practical implications The study offers insightful information for the managers of the 3PL in crafting a better policy to avoid switching behaviour among their customers. The conflict between customers and providers is unavoidable since consumers have unlimited demand and businesses have limited resources. The findings also benefit online sellers and 3PL service providers to create attractive marketing strategies for business sustainability. Originality/value The study developed a new model for the 3PL studies using the S-O-R model in introducing conflict handling and customer relationship management as the stimulus, customer's satisfaction as an organism and switching intention as a response. The study introduced single and sequential mediators also contributes to the S-O-R theory to predict the switching intention among the online sellers towards the 3PL providers. Another important contribution, customer relationship management, was confirmed to play a moderating role to influence the relationship between satisfaction and switching intention."
Learning Agility Quotient and Work Readiness of Graduating Accounting Students: Embracing the Dynamics of IR4.0
(Taylor & Francis Group, 2023-05-16) Azhara, Zubir; Jalaludin, Dayana; Erlane K. Ghani; Thurasamy, Ramayah
This study examines if the learning agility quotient (LAQ) is an important determinant for the work readiness of graduating accounting students in the Fourth Industrial Revolution (IR4.0) environment. Using a questionnaire survey involving 275 respondents, we find that those with higher intelligence quotient (IQ) and emotional quotient (EQ) have higher LAQ. We also find that LAQ mediates the positive impact of IQ and EQ on their work readiness. Our findings implicate accounting education as they highlight the significant role of LAQ in relation to IQ, EQ, and work readiness. Further research is needed to determine if educational and work environment factors can effectively support and enhance learning agility.
Level of Fear Towards COVID-19 and Its Determinants Among Healthcare Providers in Malaysia: A Cross-Sectional Study
(Family Medicine Specialist Association, 2023-01-15) Ching, Siew Mooi; Cheong, Ai Theng; Yee, Anne; Thurasamy, Ramayah; Lim, Poh Ying; Ismail, Irmi Zarina; Mohammad, Nik Mazlina; Ho, Bee Kiau; Ng, Jun Ying; Tan, Siow Foon; Rashid, Zienna Zufida Zainol; Jogulu, Sathya Rao; Lee, Kai Wei; Taher, Sri Wahyu
"Introduction: Malaysia is one of the hardest-hit countries by COVID-19 in Asia. The rapidly rising number of cases had sparked fear among healthcare providers. This study aimed to assess the determinants of fear towards COVID-19 among healthcare providers in primary care settings. Method: This online-based cross-sectional study was conducted among 1280 healthcare providers aged ≥18 years from 30 primary care clinics in the state of Selangor, Malaysia. The Fear of COVID-19 Scale was used to assess the level of fear, and the results were analysed using multiple linear regression. Results: The mean age of the respondents was 36 years, and the mean working experience was 11 years. The majority of the respondents were women (82.4%) and Malays (82.3%). The factors that were significantly correlated with higher levels of fear were underlying chronic disease (ß=1.12, P=0.002, 95% confidence interval [CI]=0.08, 3.15), concern about mortality from COVID-19 (ß=3.3, P<0.001, 95% CI=0.19, 7.22), higher risk of exposure (ß=0.8, P<0.001, 95% CI=0.14, 5.91), concern for self at work (ß=2.8, P=0.002, 95% CI=0.08, 3.10) and work as a nurse (ß=3.6, P<0.001, 95% CI=0.30, 7.52), medical laboratory worker (ß=3.0, P<0.001, 95% CI=0.12, 4.27) and healthcare assistant (ß=3.9, P<0.001, 95% CI=0.17, 5.73). The level of fear was inversely correlated with a higher work-related stress management score (ß=-0.9, P<0.001, 95% CI=-0.14, -5.07) and a higher sleep quality score (ß=-1.8, P<0.001, 95% CI=-0.28, -10.41). Conclusion: Family physicians should be vigilant and identify healthcare providers at risk of developing COVID-19-related fear to initiate early mental health intervention."
Mediating Role of Psychological Distress on the Relationship Between Fear of COVID-19 and Burnout Among Healthcare Providers
(Public health Original Research, 2023-12-15) Ching, Siew-Mooi; Thurasamy, Ramayah; Cheong, Ai Theng; Yee, Anne; Lim, Poh Ying; Zarina, Irmi Ismail; Ng, Jun Ying; Boon, Ooi Pei; Lee, Kai Wei; Nilofer, Jabarulla Khan Rasina; Asmuee, Zamzurina; Ann, Ratnasingamp Rajini; Wie, Teoh See; Hassan, Noor Hasliza
Introduction: The aim of this study was to investigate how the COVID-19 pandemic has affected the mental health of primary healthcare providers in Malaysia, focusing specifically on the role of depression, anxiety, and stress in mediating the relationship between fear of COVID-19 and burnout. Methods: A web-based cross-sectional study was conducted with 1280 healthcare providers from 30 government primary care clinics. Participants completed several scales, including the COVID-19 Fear Scale, Copenhagen Burn Inventory Scale, and DASS-21 Scale, and mediation analysis was performed using Smart-PLS. Results: The majority of respondents were female (82.4%) and Malays (82.3%), with a mean age of 36 years and an average working experience of 11 years. Nurses (47.4%) were the largest group, followed by doctors (26%), medical assistants (11.9%), healthcare assistants (7.1%), medi- cal laboratory technicians (6.4%), and drivers (1.3%). The findings revealed that fear of COVID-19 was positively associated with psychological distress, such as depression, anxiety, and stress, as well as burnout. Additionally, psychological distress played a mediating role in the relationship between fear of COVID-19 and three domains of burnout: personal burnout (β=0.154, p<0.001), work-related burnout (β=0.187, p<0.001), and client-related burnout (β=0.175, p<0.001). Conclusion: These results highlight the need for interventions to address the adverse effects of the COVID-19 pandemic on the mental health of healthcare providers, particularly in reducing depression, anxiety, and stress, which were found to play a positive mediating role in the development of burnout.
Modeling Awareness as the Crux in Solar Energy Adoption Intention through Unified Theory of Acceptance and Use of Technology
(Daffodil International University, 2022-06-13) Aravindan, Kalisri Logeswaran; Thurasamy, Ramayah; Raman, Murali; Ilhavenil, Narinasamy; Annamalah, Sanmugam; Rathidevi, Arul Selvam
Non-renewable energy depletion has prompted stakeholders to advocate alternatives, such as solar energy to pursue sustainability. However, the acquisition rate of solar service is unconvincing despite various initiatives; thus, we are seeking for a more focused remedy. This study is therefore motivated to investigate elements influencing the intention to adopt solar energy, underpinned by a unified theory of acceptance and use of technology. A self-administered questionnaire through a purposive sampling method was employed, targeting working adults who own a home or intend to purchase one in the future. Homeowners residing in condominiums, apartments, or any shared building or property were excluded. Partial least squares structural equation modelling was used for data analyses. Findings reveal that awareness positively influences performance expectancy, effort expectancy, and facilitating condition. Additionally, performance expectancy and facilitating conditions foster an intention to adopt solar energy. This research contributes pivotal insights into solar energy purveyors to invoke awareness amongst Malaysia’s society while reiterating performance expectancy, effort expectancy, and facilitating conditions towards solar energy adoption.
Modeling Eco-Friendly House Purchasing Intention: A Combined Study of PLS-SEM and fsQCA Approaches
(Emerald Publishing Limited, 2023-08-15) Chanda, Razib Chandra; Vafaei-Zadeh, Ali; Hanifah, Haniruzila; Thurasamy, Ramayah
Purpose The urgency to address climate change and its devastating consequences has never been more pressing. As societies become increasingly aware of the detrimental impact of traditional housing on the planet, there is a growing demand for eco-friendly housing solutions that prioritize energy efficiency, resource conservation and reduced carbon emissions. Therefore, this study aims to investigate the factors that influence customers’ priority toward eco-friendly house purchasing intention. Design/methodology/approach This study collected 386 data using a quantitative research strategy and purposive sampling method. This study uses a hybrid analysis technique using partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) approaches to identify the influencing factors. Findings The PLS-SEM analysis found that attitude toward the eco-friendly house, subjective norms, performance expectancy, environmental knowledge and environmental sensitivity have a positive influence on eco-friendly house purchasing intention. However, perceived behavioral control and willingness to pay were found to have insignificant effect on customers’ intention to purchase eco-friendly houses. The fsQCA results further revealed complex causal relationships between the influencing factors. Practical implications This research will not only contribute to academic knowledge but also provide practical guidance to real estate developers, policymakers and individuals looking to make environmentally responsible choices. By understanding the factors that influence consumers’ intentions to purchase eco-friendly houses, we can pave the way for a more sustainable and resilient future. Originality/value This study has used a hybrid analysis technique, combining PLS-SEM and fsQCA, to enhance the predictive accuracy of eco-friendly house purchase intentions among individuals residing in densely populated and highly polluted developing countries, such as Bangladesh.
Modelling Sustainable Manufacturing Practices Effects on Sustainable Performance
(Scopus, 22-09-20) Abdul‑Rashid, Salwa Hanim; Mohamad, Marini Nurbanum; Sakundarini, Novita; Ghazilla, Raja Ariffin Raja; Thurasamy, Ramayah
This study empirically investigates the effects of sustainable manufacturing practices on sustainable performance, focusing on the moderation effect of companies’ ownership (foreign or local) between sustainable manufacturing practices and sustainable performance. In this study, a survey was conducted among ISO 4001-certifed manufacturers in Malaysia, and structural equation modelling was used to examine the moderating effect of a company’s ownership on the relationship between sustainable manufacturing practices and sustainable performance. The findings showed that there was a positive relationship between both sustainable product design and sustainable manufacturing processes and sustainable performance for Malaysian manufacturers. However, the positive relationship between both sustainable product design and sustainable end-of-life practices on sustainable performance was stronger for foreign companies compared with that for local companies. The results showed the strengths of foreign-owned companies were at the implementation of their sustainable product design and sustainable end-of-life management practices of the product manufacturing process. The fndings identifed in this paper extend previous research and provide empirical evidence that a company’s ownership impacts the relationship between sustainable manufacturing practices and sustainable performance. Keywords Sustainable manufacturing practices · Sustainable performance · Structural equation modelling · Ownership
Open Innovation in the Financial Sector: A Mixed-Methods Approach to Assess Bankers' Willingness to Embrace Open-AI ChatGPT
(2024-03-15) Bouteraa, Mohamed; Chekima, Brahim; Thurasamy, Ramayah; Bin-Nashwan, Saeed Awadh; Al-Daihani, Meshari; Baddou, Abderrahmane; Sadallah, Mouad; Ansar, Rudy
As open innovation and Artificial Intelligence (AI) become more prevalent in financial institutions, early adoption of Chatbots will have a competitive advantage. However, ChatGPT is still less common in the financial sector than in other industries. This study attempts to understand bankers' perceptions towards using ChatGPT. Towards this, the study employed an exploratory sequential mixed-methods approach. Eventually, 10 bank professionals participated in the preliminary semi-structured interviews to gain insight into their perceptions. Sequentially, the study cross-sectionally examined the identified factors among 368 bankers to triangulate the framework with empirical evidence. The Thematic Content Analysis (TCA) analysis identified seven new factors related to bankers' use of ChatGPT, which were primarily validated in PLS-SEM assessments. The results showed the positive effect of performance expectancy, social influence, facilitating conditions, awareness, innovativeness, and system quality on ChatGPT usage and the negative effect of technology self-efficacy and IT features. Intriguingly, the moderating effects of central bank support were positively confirmed for innovativeness and social influence, but negative for the relationship between technology self-efficacy, awareness, and bankers' intention. This study offers a highly predictive model contemplating the applicability of an extended UTAUT model to explain the use of ChatGPT in the banking sector. Accordingly, we suggest that decision-makers should emphasize improving the individual attributes of their human capital towards technology and improving AI system quality, as well as working closely with government-powered authorities that would facilitate the diffusion process of AI Chatbots in the banking sector.
Predicting Electric Vehicles Adoption
(Elsevier, 2024-10-25) Choo, Seen Yee; Vafaei-Zadeh, Ali; Hanifah, Haniruzila; Thurasamy, Ramayah
The increasing popularity of electric vehicles (EVs) as an alternative mode of transportation aims to reduce greenhouse gas emissions and energy expenditures, playing a crucial role in the evolution of emerging mobility markets. This research investigates consumer perspectives on EV adoption using the perceived risks and benefits model and the norm activation model. Employing a survey-based methodology, data were gathered from 379 Malaysian respondents aged 18 and older, with valid driving licenses but no prior EV experience. The study utilized partial least squares structural equation modelling (PLS-SEM) to analyze the data. Key findings reveal positive associations between the intention to use EVs and factors such as perceived enjoyment, perceived benefit, trust, and environmental knowledge. Conversely, perceived risk and perceived cost were not significantly correlated with adoption intention. The study also found that awareness of consequences and the assignment of responsibility positively influenced personal norms, which in turn were linked to the intention to adopt EVs. The current study addresses the lack of research in Malaysia by focusing specifically on Malaysian consumers. Practical implications highlight the need for local policymakers and industry stakeholders to enhance awareness about EV advantages, improve marketing strategies, and support informed decision-making aligned with personal and environmental values. This research provides valuable insights into consumer perceptions of EV adoption in Malaysia, contributing to the global shift towards a greener automotive landscape.