Journal of Technology Management and Business
The Journal of Technology Management and Business (JTMB) is a bi-yearly, peer-reviewed journal published by the Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia and it is published twice a year (June and December). It is devoted to promote, develop and disseminate theories and practices of technology management, business and entrepreneurship. It is designed for both academics and professionals and derives its audience from universities, researchers, practitioners and allied professional organisations throughout the world. Through research and practical papers, the journal enables the sharing of new theories, research, thoughts, experiences and concepts for the management of technology and business new thinking and settings. For more details please click here.
Open access licenses Open Access is by licensing the content with a Creative Commons (CC) license. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
A Safety Risk Management Approach Using Human Factor Analysis and Classification System (HFACS) Based Investigation for Urban Railway Maintenance Accidents
Despite the growth and modernization of the Malaysian railway industry, human factors remain a primary cause of workplace accidents. This research explores the human factors contributing to workplace accidents among maintenance workers in Malaysia's urban railway sector using the Human Factors Analysis and Classification System (HFACS). The research employs qualitative methods, including interviews with five maintenance workers who have experienced workplace incidents, along with a comprehensive review of 14 accident reports from 2017 to 2021. Findings reveal that unsafe acts are significant contributors to accidents, accounting for 28.6% of reported cases. These errors are often caused by distractions due to internal factors, such as excessive work pressure, or external factors, such as environmental disturbances. Preconditions for unsafe acts, including hazardous physical environments, emerged as the most frequent cause, representing 50% of cases. Other contributing factors include improper tool use (7.1%) and deficiencies in communication, coordination, and planning during routine maintenance tasks (14.3%). The findings from the interview session indicate that most workplace accidents were linked to unsafe acts, with 80% of respondents highlighting these as major causes. Respondents also identified preconditions such as physical environment, mental and physical states, and sensory misperception, in which 20% cited poor lighting, confined spaces, fatigue, and misreading instruments as key factors. Though supervisory issues were rarely mentioned, 20% of respondents blamed organisational shortcomings, such as lack of essential tools and poor resource management, for contributing to unsafe conditions. Preventive measures, such as wearing personal protective equipment (PPE) and fostering team-based monitoring in high-risk environments, were emphasised by respondents. This research accentuates the importance of applying the HFACS framework as a diagnostic tool, human-related contributing factors to railway maintenance accidents can be systematically identified, enabling the development of targeted interventions to enhance safety and reduce workplace incidents in railway maintenance operations.
Occupational Safety and Health Management
Copyright (c) 2026 Journal of Technology Management and Business https://creativecommons.org/licenses/by-nc-sa/4.0
Legal Issues Arising from Client-Driven Variation Claims in Construction Contracts
Variation claims are an almost inevitable feature of construction contracts due to the dynamic and complex nature of construction projects. Under the context of variation claims, it generally arise when a contractor is required to execute the work that is outside of the contract parameters and in return, proposes a compensation in terms of time or cost. Among these, variations initiated by clients frequently give rise to legal disputes, particularly in relation to entitlement, procedural compliance, valuation, and dispute resolution. This research examines the legal issues arising from client-driven variation claims in construction contracts, with a specific focus on how such claims are interpreted and resolved within the Malaysian legal framework. Adopting a doctrinal legal research methodology, this study analyses statutory provisions, standard forms of construction contracts, namely the PWD Form 203A, PAM Contracts 2018, and FIDIC Contracts 2017, and a comprehensive selection of recent Malaysian court decisions. Through systematic case law analysis, the research identifies key legal issues underpinning client-driven variation claims, including the classification of works as variations, entitlement to variation payments, procedural non-compliance with contractual requirements, and the role of adjudication under the Construction Industry Payment and Adjudication Act 2012 (CIPAA). The study further examines the repercussions of such variation claims on contractors, particularly in terms of loss of entitlement, financial disruption, exposure to liquidated ascertained damages, failure to recover loss and expense, and prolonged dispute resolution. The findings reveal that courts consistently emphasise strict adherence to contractual procedures, especially regarding written instructions, timely notices, and proper documentation. While judicial decisions demonstrate an effort to balance contractual certainty with commercial realities, contractors who fail to comply with procedural requirements often face adverse outcomes despite the substantive merits of their claims. This research contributes to construction law scholarship by clarifying prevailing legal principles governing client-driven variation claims and highlighting the practical implications of judicial reasoning for contractors. The study also provides useful guidance for industry practitioners in managing variation claims and mitigating legal risks arising from client-initiated changes in construction projects.
Digital Transformation of Land Governance: Implementing Electronic Land Administration Systems for Sustainable Land Administration – A Systematic Literature Review
The rapid advancement of digital technologies has intensified the transformation of public sector governance, particularly in modernizing land administration systems that support sustainable land governance. However, many land administration institutions still operate through fragmented records, manual procedures and disconnected information systems, limiting transparency, operational efficiency and effective land information management. Within the context of digital transformation governance, Electronic Land Administration Systems (eLAS) have emerged as integrated digital platforms that combine land registry databases, cadastral records and geospatial information systems to enhance information system integration and digital service delivery. This study aims to examine the implementation of eLAS from a technology management perspective, focusing on technology adoption, institutional capability and governance readiness in digital land administration. A Systematic Literature Review (SLR) was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol using peer-reviewed publications retrieved from major databases including Scopus, Web of Science and IEEE Xplore. After applying defined inclusion criteria, 24 relevant studies published between 2022 and 2024 were analyzed using thematic analysis. The findings indicate that successful eLAS implementation depends on three interrelated factors: integrated land data management, supportive regulatory frameworks and strong institutional capability for managing digital transformation initiatives. Overall, the study highlights that effective digital transformation governance and strategic technology management are critical for advancing electronic land administration systems and achieving sustainable land administration.
Electronic Land Administration Systems (eLAS)
Safety Performance in Construction Micro, Small, and Medium Enterprises in Developing Countries
Construction Micro, Small, and Medium Enterprises (CMSMEs) play a vital role in infrastructure and manpower development in developing countries. However, workers in these enterprises are susceptible to safety risks because most of their tasks are handcrafted with little or no machine involvement. This study, therefore, analysed the key drivers to improve safety performance in Nigerian CMSMEs with a view to promoting a proactive safety culture among construction stakeholders. A quantitative research approach was employed, involving the administration of a structured questionnaire to project managers, engineers, and workers across 106 CMSMEs in Abuja, Nigeria. A total of 318 copies of questionnaires were distributed, with a 65% response rate. Descriptive statistics, mean score ranking, and factor analysis were used to analyse the data. The results of the analyses revealed sixteen critical drivers influencing safety performance. The top three drivers were the availability of personal protective equipment, the provision of first aid, and the availability of safety policies. Factor analysis revealed eight major dimensions—provision of facilities, resources, capacity building, financial commitment, government intervention, inspection and monitoring, workforce, and documentation—accounting for 66.9% of the total variance. The Kendall’s Coefficient of Concordance showed a strong agreement among the groups of respondents regarding the rankings of these drivers (W = 0.6671). The study concluded that improving safety performance in CMSMEs requires a multifaceted approach involving adequate safety resources, continuous training, financial investment, stronger regulatory enforcement, and integration of technology. It recommended targeted policies, stakeholder collaboration, and capacity-building initiatives to promote a proactive safety culture, reduce accidents, and enhance sustainability in the construction sector of developing countries.
Disrupting Oil Markets and Electric Vehicles (EVs) as Game Changers: Examining the EV Purchase Intention of Malaysian Gen Z
The ongoing conflicts in West Asia are expected to be a catalyst for a surge in electric vehicle (EV) sales in the country, with the market forecast to double to 8% this year. The problem of environmental pollution has also forced the transportation sector to accelerate the adoption of environmentally friendly EVs. This research aims to examine the relationship between factors influencing EV purchase intention among Malaysian Gen Z in the Southern region. Research data were collected via an online questionnaire distributed through cluster and convenience sampling. Data were processed using Structural Equation Modeling (SEM). Based on a sample of 258 respondents, perceived cost savings, car attributes, subjective norms, and personal environment norms positively influence purchase intention. In contrast, personal environment norms moderate the relationships between car attributes, subjective norms, and EV purchase intentions. Thus, the Malaysian government and relevant agencies need to support the transition to EVs through a series of policies, ranging from subsidies and fiscal incentives to regulations that support the development of charging infrastructure to accelerate EV adoption across all levels of society.
Strategies to Enhance TVET Students' Participation in the Malaysian Construction Industry
The construction sector is one of the key contributors to Malaysia’s economic development and infrastructure. However, the participation of Technical and Vocational Education and Training (TVET) students in the construction industry remains low, despite the availability of numerous career opportunities. This issue is attributed to several factors, including negative perceptions of 3D jobs (Dirty, Dangerous, and Difficult), a mismatch between TVET training and industry requirements, and concerns about safety and career prospects. Therefore, this study is conducted to identify the factors that influence the participation of TVET students, examine the effectiveness of TVET training in providing the technical skills needed in the construction industry, and to propose improvement strategies to enhance their participation in the Malaysian construction industry. A quantitative approach was employed, using a questionnaire administered to 187 students from six vocational colleges in Johor offering construction-related programs. The analysis revealed that industry engagement through mentoring, structured training (dual learning), and curriculum updates with current technologies such as BIM and IBS enhance students’ confidence, technical skills, and employability. Continuous TVET promotion, family support, and active industry involvement proved to be the key strategies to attract students to the construction sector while developing a skilled and competitive local workforce. Strategic collaboration between TVET institutions, industry, and the government is essential to foster student interest in construction and build a competent local workforce.
Sustainable Farming for the Future: A Conceptual Framework for Integrating Smart Technologies and Sustainability in Small-Scale Agriculture
Smallholder farmers remain the backbone of the global food system, contributing substantially to food security, rural employment, and economic development. However, they face increasing challenges arising from climate change, resource scarcity, environmental degradation, and socio-economic constraints. Recent advancements in Information and Communication Technologies (ICT), including the Internet of Things (IoT), artificial intelligence (AI), unmanned aerial vehicles (UAVs), decision support systems (DSS), and blockchain, have introduced new opportunities for transforming traditional agriculture into smart and sustainable farming systems. This literature review integrates two major perspectives—smart farming and sustainable agriculture—into a unified conceptual framework. Drawing upon recent scholarly literature, the review examines how high-tech tools enhance productivity, environmental stewardship, social empowerment, and governance transparency, particularly within small-scale farming systems. Furthermore, the paper highlights key barriers to technology adoption and outlines future research directions. The findings demonstrate that the integration of digital technologies into smallholder agriculture holds significant potential to enhance resilience, sustainability, and long-term food security.
Smart farming, sustainable agriculture, smallholder farmers, Internet of Things, artificial intelligence, ESG framework, digital agriculture
A Sustainability-Oriented TOPSIS Framework for Supplier Evaluation and Selection
Supplier selection plays a vital role in enhancing the efficiency and competitiveness of supply chain management (SCM). Selecting the most appropriate supplier mitigates procurement risk, enhances product quality, and guarantees timely delivery. This study establishes a Multi-Criteria Decision-Making (MCDM) framework based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to assess and identify the most appropriate plastic raw material supplier for RFL Group. Four supplier alternatives from China were assessed using eleven criteria covering operational, economic, relational, and environmental dimensions, including lead time, reliability, carbon emission rate, quality of raw material, response time, return ability, warranties and claims policies, geographical location, and quantity discount. The criteria were selected based on supplier-selection literature, organizational procurement requirements, and expert judgment. The criterion weights were determined using an expert-based weighting procedure and then applied in the TOPSIS calculation. The results show that Shandong Liangshan Quanxing Plastics Co., Ltd. achieved the highest relative closeness (C_i^*=0.6695). Sensitivity analysis using ±10% changes in key criterion weights confirmed the stability of the final ranking. Comparative AHP-rating synthesis also selected supplier S as the strongest alternative. The study contributes by integrating sustainability-related evaluation, particularly carbon emission rate, into a transparent TOPSIS-based supplier-selection model and by demonstrating how MCDM can support practical procurement decision-making in the plastic manufacturing sector.
Logistics Regression Modelling for Anti Money Laundering Detection for Reporting Institution
Money laundering is a significant threat to global financial systems and national security, and Malaysia's Anti-Money Laundering, Anti-Terrorism Financing and Proceeds of Unlawful Activities Act 2001 (AMLA 2001) mandates reporting institutions, such as banks and casinos, to identify and report suspicious transactions. Traditional rule-based approaches to Anti-Money Laundering (AML) detection face limitations, including high false-positive rates and a lack of adaptability to evolving criminal tactics. This research aims to address these challenges by identifying key parameters within the AMLA 2001 framework, developing a detection model that incorporates these parameters and leverages logistics regression techniques, and evaluating its accuracy, precision, recall, and capacity to reduce false positives. Employing a multi-pronged methodology, including literature review, data collection, model development, and evaluation, the study uncovered critical AMLA 2001 parameters predictive of illicit activities and created a model that enhances detection efficiency and accuracy. The findings have practical implications for any reporting institutions and regulatory bodies, contributing significantly to efforts to combat money laundering and safeguard the integrity of country's financial system.
Anti-Money Laundering (AML), Logistic Regression, Reporting Institutions
Copyright (c) 2025 Journal of Technology Management and Business https://creativecommons.org/licenses/by-nc-sa/4.0
Variation Management in Construction Contracts: A Comparative Study of PWD 203A (Rev. 01/2010) and PAM 2018
The Malaysian construction and development sector plays a vital role in driving national economic growth. Yet, project performance often suffers when stakeholders manage variations ineffectively, causing delays and reducing overall efficiency. Variations in major contracts typically result in financial overruns and extended project durations. Though standard contracts outline procedures, inconsistent application often leads to disputes and operational inefficiencies. Empirical evidence highlights the dynamic and uncertain nature of variation practices, wherein inadequate implementation exacerbates risks to project outcomes. This research seeks to offer a thorough insight in best practice through a comparative examination of Malaysia’s prevalent standard forms of contracts (SFOC), PWD 203A (Rev. 01/2010) and PAM 2018. This research aims to investigate the current variation management procedures outlined in PWD 203A (Rev. 01/2010) and PAM 2018, assess effective variation control methods, and formulate best practice models. A dual methodology was employed, which integrated comprehensive document reviews and semi-structured interviews with six interviewees: two project managers, one architect, one contract administrator, one contract manager, and one consultant from industry professionals, all contributing to a robust contractual analysis. Comparative analysis employs four strategies, which will be examined and supported by academic sources, professional standards, and contractual documentation from 2010 to 2024. Findings aim to reveal success determinants in effective communication, rapid decision-making, and contractual clarity enhancing variation governance and efficiency.
variation management, contractual practices, construction delay, PWD 203A (Rev. 01/2010) and PAM 2018, best practices
The Boardroom Effect: Understanding Director Remuneration Disclosure in Malaysia
Stakeholders’ concern over director remuneration disclosure has remained prominent following high-profile corporate scandals and financial crises, such as the Enron collapse and the 2009 global financial crisis. Despite the structural and financial challenges faced by firms, many directors continue to receive substantial pay packages, prompting scrutiny from regulators, investors, and the public. This study aims to examine the level of transparency in director remuneration disclosures among Malaysian public-listed companies (PLCs) and to explore the influence of corporate governance attributes particularly board characteristics on disclosure practices. A content analysis approach was employed, utilizing a director remuneration transparency scoreboard to assess the annual reports of 100 Malaysian PLCs. Data was collected from publicly available corporate reports, and board characteristics such as size, independence, and ethnicity were examined using secondary data. The findings reveal that board ethnicity and company size significantly influence the extent of directors’ remuneration disclosure. These insights contribute to the ongoing discourse on corporate transparency and suggest that future studies consider ethical dimensions as potential determinants of disclosure practices.
Emerging Technology Entrepreneurship Trends And Performance Multinational Organisations in Nigeria
Despite the key role in driving economic development using investment by multinational organisations, such as the creation of jobs, and technology transfer, many multinational organisations in Nigeria face infrastructure shortfall, weak institutional setup, and socio-economic instability. This study aims to examine emerging technology entrepreneurship trends and the performance of multinational organisations in Nigeria by closing these gaps by exploring the link between entrepreneurial orientation, technology infrastructure, human capital and the performance of multinational organisations in Nigeria. The study adopts a descriptive survey design to investigate the impact of emerging technology entrepreneurship trends on the performance of multinational organisations. The study targets operational and managerial employees of multinational companies in the telecommunication sector with subsidiaries in Osun State, Nigeria. The study employs a systematic random sampling technique. Given the infinite population approach, the sample size is predetermined as 385 respondents based on Cochran's formula (1977). A structured questionnaire was designed to gather relevant information. Descriptive and inferential statistics were utilised in the study for the data techniques. The results reveal that entrepreneurial orientation significantly impacts the performance of multinational organisations. Technology infrastructure was not statistically significant and human capital emerged as a critical predictor of organisational performance. The research recommended that multinational organisations operating in emerging markets, such as Nigeria, should tailor their strategies to address local challenges.
Digital Twin for Dynamic Construction Site Monitoring and Control
The construction industry is inherently complex and poses significant safety challenges, requiring innovative solutions to enhance operational efficiency and risk management. Digital Twin (DT) technology has emerged as a transformative tool, offering real-time digital representations of physical construction sites to facilitate proactive decision-making and improve site monitoring. This study aims to explore the integration of Digital Twin technology into construction site management, focusing on its impact on safety, operational efficiency, and risk mitigation. By leveraging real-time data, predictive analytics, and Internet of Things (IoT) sensors, the research seeks to assess the effectiveness of DT in enhancing safety protocols and streamlining construction workflows. A mixed-methods approach was adopted, combining quantitative surveys with construction managers and safety officers, along with qualitative interviews with industry professionals. Statistical analysis was conducted to evaluate the correlation between DT adoption and safety performance indicators, while thematic analysis provided insights into practical challenges and benefits. Findings indicate a significant reduction in workplace accidents and near-miss incidents, with a 35% decrease in reported accidents following DT implementation. Additionally, participants highlighted improved situational awareness, proactive risk management, and a cultural shift towards safety-conscious practices. However, challenges such as initial costs and training requirements were identified as key barriers to widespread adoption. The study underscores the potential of Digital Twin technology to revolutionize construction site management by enhancing safety outcomes and optimizing operational efficiency. These findings offer valuable insights for industry practitioners, policymakers, and researchers, advocating for increased investment in DT systems to promote safer and more sustainable construction environments.
Implementation of Building Information Modelling (BIM) for the Operation and Maintenance (O&M) Phase of the Building Life Cycle in Malaysia
Facilities Management (FM) plays a pivotal role in the operation and maintenance (O&M) phase of a building's life cycle. Despite various data management systems available for building maintenance, manual processes that deal with scattered and unformatted data still dominate. Building Information Modelling (BIM), a digital method introduced in the construction sector, has demonstrated its potential to enhance efficiency throughout a building's life cycle. However, its full potential in revolutionizing facilities management during the O&M phase remains largely unexplored and minimally implemented in Malaysia. This study has three objectives: to examine the implementation of BIM for the O&M phase, identify barriers to the implementation, and propose strategies to improve its implementation. Data was collected through questionnaires. The findings reveal that BIM adoption is in its early stages, with limited projects related to BIM. Critical barriers to implement BIM include the high-cost investment, lack of technical expertise, complex facility information, lack of preparation of materials and equipment by academic institutions, and unclear workflows within organisations. The study recommends key strategies such as comprehensive training, BIM education to reduce technical issues related to files and systems, secured funding, collaboration among FM stakeholders, and clearly defined objectives. These findings highlight the barriers the current FM practice faces and provide a roadmap for implementing BIM for the O&M phase of the building life cycle in Malaysia.
Building Information Modelling (BIM), operation and maintenance (O&M), facilities management, barriers, strategies.
Examining the Mediating Effect of ICT Adoption on Personnel Training and Technological Infrastructure in Local Government Revenue Generation
This study provides valuable insights into the dynamics of Information and Communication Technology (ICT) adoption concerning revenue generation within the Nigerian local government system. By analysing the mediating role of ICT adoption in relation to personnel training, technological infrastructure, and revenue collection, this study advances the understanding of how technology serves as a catalyst for converting human and technological resources into tangible organizational outcomes. This study investigates beyond surface-level interactions to reveal the complex interplay among these variables through a quantitative method of data collection and analysis. Data were collected through a structured questionnaire from the revenue staff of Ilorin West Local Government of Kwara State, Nigeria. The findings reveal that well-trained personnel and robust technological infrastructure synergistically contribute to the adoption of ICT, resulting in optimized revenue collection mechanisms. Thus, this study underscores the transformative potential of technology, positioning it as a cornerstone for organizational growth and efficiency. The findings provide a framework for comprehending the pathways through which technology permeates various dimensions of local government organizations, leading to enhanced revenue management and performance.
The Impact of Stakeholder-Oriented Organisational Management Model on Organisational Performance: A Case Study of Chinese Retail Enterprises
This study investigates the impact of a stakeholder oriented management model on organizational performance using DL Donglai Quality, a well-known retail company in China. Based on stakeholder theory and the service profit chain model, this study analyzes the role of high employee care strategy and customer focus strategy in improving organizational performance. The study explored the mediating effect of employee care and customer oriented strategy as independent variables, organizational performance as dependent variable, and employee satisfaction and customer loyalty as mediating variables. Through an online structured questionnaire survey of 490 randomly selected employees and 533 customers, Likert scale was used for quantitative analysis, and combined with company reports and academic literature, descriptive statistics, correlation analysis, regression analysis and structural equation modeling (SEM) were applied to analyze the data. The results show that high employee care and customer-centered strategy significantly improve employee satisfaction, customer loyalty and organizational performance (p< 0.000***), and employee satisfaction and customer loyalty play a significant mediating role in this process. The research verifies the applicability of stakeholder theory and service profit chain model in the retail industry, continues the development of related theories, provides valuable empirical evidence for the global retail industry, and provides favorable support for enterprises that want to adopt stakeholder management mode, helping enterprises to achieve sustainable development.
Stakeholder-Oriented Management, Organizational Performance, Employee Care, Customer-Centric Strategy, Chinese Retail Industry, Stakeholder Theory
Stakeholder Oriented Organizational Management
Small Business Innovation in Nigeria: A Seamless Technology Integration Approach
The increasing adoption of digital technologies offers considerable opportunities for small businesses in emerging economies to strengthen their capacity for innovation. However, the effective integration of these technologies into organisational processes remains a critical challenge. This study investigates how seamless technological integration influences organisational innovation within the context of small businesses in Nigeria, an emerging market economy. It focuses on four key dimensions namely process integration, system process integration, system integration, and data consistency. The data were collected using structured questionnaires administered to micro and small entrepreneurs in Kwara State, Nigeria. PLS-SEM was used to analyse the relationships between the identified dimensions of technological integration and organisational innovation. The results show that system integration has a significant positive influence on organisational innovation, followed by data consistency and process integration. These results emphasise the critical role of integrated technological infrastructures in improving innovation outcomes for small businesses operating in resource-constrained environments. In light of these findings, micro and small business owners should prioritise the adoption of integrated technological systems as a central component of their innovation strategies.
Artificial Intelligence in Investment: Analysing Variations, Functions and Market Impact
The integration of Artificial Intelligence (AI) in the investment domain has gained significant traction, yet the existing body of research remains fragmented, lacking a cohesive understanding of AI's varied forms, functions, and broader market implications. This study addresses this gap by systematically reviewing and consolidating scattered insights on AI applications in investment, organizing them into a structured and comprehensive framework for better understanding. Through a systematic review methodology, it categorizes 12 distinct AI variations based on their specific functions, including predictive analytics for market forecasting, automated trading systems, stock screening tools, and automated technical analyses. The market impact of AI is deductively analyzed based on a thorough understanding of its capabilities, definitions, and functionalities, revealing that while AI enhances trading performance through improved efficiency, accuracy, and liquidity, it also introduces challenges such as increased market volatility and potential marginalization of smaller investors, favoring larger institutions. By synthesizing fragmented literature into a cohesive reference, this study provides a clear and comprehensive understanding of AI's diverse functions in investment activities and their broader market implications. It offers critical insights for scholars and practitioners, advancing the discourse on equitable AI adoption and sustainable market practices. This research not only serves as a valuable reference for understanding AI in investment but also lays the groundwork for future innovations and policy interventions in the field.
An Electronic Revenue Mobilization and Utilization System: Improving and Safeguarding the Tax for Development in the Builsa South District, Ghana
The study designs and implements an online electronic tax payment system, BSDARMS, for the Builsa South District of Ghana, enabling taxpayers to track revenue utilization. Using the iterative waterfall model, BSDARMS provides a user-friendly interface, secure taxpayer database, and facilitates online payments via SMS and USSD. The system addresses limited revenue collection personnel, motivating business registration and tax compliance to support budget targets and district development. Compared to KRA’s ICT deployment, BSDARMS enhances operational efficiency by reducing administrative costs and revenue leakage. It aligns with Tanzania’s LGRCIS system, ensuring reliable tax collection and notification mechanisms.
Effectiveness of Human Resource Management Information System (HRMIS): A Case Study of Royal Army Engineers Regiment of Malaysia
The use of computer-based information systems to help improve the performance of an organization can be seen in almost all management and administrative activities. A Human Resource Information System (HRIS) is used to obtain, store, manipulate, analyze, retrieve, and distribute important information about human resource activities in an organization. The Human Resource Management Information System (HRMIS) system is one example of an HRIS system. This study aims to identify the predictors of the effectiveness of the HRMIS system, namely performance expectancy, effort expectancy, attitudes toward technology, and social influence. This study used a questionnaire to collect data from 91 Royal Engineers Regiment Malaysian Army staff. A total of 291 respondents were involved in this study. The data are analyzed using Pearson correlation and multiple regression. This study's findings show a significant relationship between all variables and social influence, the most significant predictor of HRMIS effectiveness. The results support the combination model of the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Theory of Planned Behavior (TPB). In conclusion, a sound HRMIS system can catalyze organizational success.
Performance Expectancy, Effort Expectancy, Attitudes towards Technology, Social Influence, Human Resource Management Information System (HRMIS), Effectiveness
Systematic Literature Review on Blockchain-Based Knowledge Integration Models for Higher Learning Institutions
This paper presents a systematic literature review (SLR) on the knowledge integration (KI) of blockchain technology within higher learning education institutions (HLI), focusing on the development of a comprehensive model. With the growing importance of blockchain in various sectors, its potential applications in higher education, particularly in areas like data management, credentialing, and academic integrity, warrant an in-depth exploration. This SLR examines existing literature from academic databases, analyzing studies that discuss blockchain's role and potential in educational contexts. The review synthesises findings across various dimensions, including blockchain's advantages, challenges, and the requirements for effective integration within institutional frameworks. Thirty-three studies from 2020–2024 that were found in Scopus, Science Direct, and Google Scholar satisfied the study's requirements. Using the PRISMA paradigm, this study looked at a number of literature review components, such as subject area, research approach, and research type. This article's conclusion offers guidance for next research. By addressing both opportunities and challenges, this research contributes a framework to guide educational institutions in leveraging blockchain technology for enhanced knowledge management, data security, and operational efficiency. The paper concludes with recommendations for future research and practical guidelines for administrators and policymakers considering blockchain integration within educational environments.
Information system and knowledge management
Buy Now, Pay Later Services: Adoption Drivers among Digitally Fluent Generations in Sarawak
In the ever-evolving landscape of consumer finance, Buy Now Pay Later (BNPL) has emerged as a transformative payment solution. BNPL effectively bridges the gap between traditional credit and debit methods by offering a middle ground that combines the benefits of both. The study aims to identify the adoption factor of BNPL among Generation Y (Gen Y) and Z (Gen Z) in Sarawak. Sarawak is undergoing fierce digital transformation through Sarawak Digital Transformation Blueprint 2030. BNPL plays a significant role by supporting consumer spending and empowering local businesses to thrive in the digital economy. This paper adapts and expands the Unified Theory of Acceptance and Use of Technology (UTAUT) in addressing the adoption factors of BNPL among Gen Y and Z in Sarawak. The theoretical framework has been expanded to include other variables like perceived security and attitude to broaden the usage of UTAUT in the BNPL field. Data were collected from 384 respondents and examined using SmartPLS 4.0 software. The findings indicated that performance expectancy, effort expectancy, attitude and perceived security were significant in the adoption of BNPL services among Gen Y and Z in Sarawak. As a result of the study, research has added value to the existing literature and contributed an expanded model of UTAUT for future researchers and academicians to adopt in conducting studies regarding financial technology, especially BNPL.
Unified Theory of Acceptance and Use of Technology (UTAUT)
An Analysis of Industry-Specific Variations and Sectoral Differences in Sustainability Disclosure among Indian Companies
The importance of understanding industry-specific variations and sectoral differences in sustainability disclosures is critical in today's corporate landscape. Rapid urbanisation and industrialisation in India have created significant challenges for manufacturing companies, including environmental degradation, income inequality, and greenwashing. Balancing sustainability with economic growth remains a persistent issue, particularly in a developing economy like India. This study assesses the degree of industry-specific variations and sectoral differences in sustainability disclosures within the annual reports of 22 Indian manufacturing companies across various sectors. The study adopts a quantitative method and ex post facto research design, utilising data from the annual reports of sampled manufacturing companies for the fiscal years 2021–2022. The total enumeration sampling technique was employed, and data were validated through cross-examination of the annual reports by auditors. Content analysis was used to address key questions regarding document selection, environmental disclosure criteria, data processing, and scoring. Despite the increasing adoption of frameworks like the Global Reporting Initiative (GRI), International Integrated Reporting Council (IIRC), and Business Responsibility and Sustainability Reporting (BRSR-SEBI), greater knowledge and integration of these standards remain necessary. The findings highlight industry-specific trends, with some sectors demonstrating stronger commitments to sustainability reporting. The study concludes that Indian companies show a growing dedication to transparency and the adoption of sustainability frameworks, though sectoral differences persist. These findings underscore the need for standardized reporting practices and greater alignment with global sustainability goals to enhance corporate accountability and environmental stewardship.
Industry-specific, Manufacturing, Sectoral Differences, Sustainability disclosure.
Causes Of Cost Overrun and Solutions in Construction Projects in Somalia
The construction industry plays a critical role in Somalia’s socioeconomic development and has expanded significantly since the end of the civil war; yet, cost overruns remain a major challenge, as many projects exceed their initial budgets. Existing studies indicate that limited skilled personnel, inexperienced managers, and poor communication are contributing factors to this issue. This study aims to identify the causes, solutions, and impacts of cost overruns in Somali construction projects and to analyse the relationships between these variables. A quantitative approach, utilising a structured questionnaire, was employed, yielding 63 valid responses from Grade A contractors, including project managers, engineers, and architects. Descriptive statistics and correlation analysis were used to evaluate the data. The results indicate that unskilled labour, insecurity, lack of insurance, poor project management, and weak infrastructure are the primary causes of cost overruns, while effective cost management, time management, and quality management practices serve as key solutions. Major impacts identified include financial strain on clients, compromised project quality, reputational damage to contractors, and project delays. Correlation analysis revealed a moderate positive relationship between the causes and solutions and a strong positive relationship between the solutions and impacts, suggesting that addressing the root causes is moderately linked to solution effectiveness, whereas implementing the proposed solutions strongly contributes to mitigating the impacts. Overall, the study offers practical insights for improving construction performance and strengthening cost-control mechanisms in Somalia.
Construction projects, Construction Industry, Cost overrun, Somalia
The Effects of Government Support, Social Support, and Self-Efficacy on Digital Business Performance: The Mediation Analysis of Social Media Adoption
Digital business is carried out using the Internet, providing many benefits to merchants and buyers. Business can be done 24 hours a day because the Internet is always present in human life and does not limit things like culture, race, distance, time, and country. Based on the theory of planned behavior (TPB) and guided empirical observations, this paper examines the determinants of predicting the performance of young entrepreneurs in digital business. This research uses primary data, where survey data are collected from 384 young entrepreneurs in Negeri Sembilan, Malaysia. The data analysis is based on structural equation modeling (SEM), operated with the IBM SPSS AMOS 26 program. The results found that the performance is driven by government support, social support, self-efficacy, and social media adoption. Second, social media adoption mediates the relationship between governmental support, social support, self-efficacy, and digital business performance. Therefore, it is hoped that this discussion will help the academic and practical fields understand this phenomenon and be used as a guide by policymakers to review the national digital business ecosystem and mechanism to further the development of young entrepreneurs. Technology has helped entrepreneurs reach the future of their business more efficiently and take the name of the business to a global level.
Digital Business, Government Support, Social Support, Self-Efficacy, Social Media, Young Entrepreneurs
Unravelling Older Adults' Continuance Intention on Social Networking Sites Through the Lens of SOR Theory: Older Adults' Continuance Intention on Social Networking Sites
The rise of social networking sites (SNS) has transformed the digital landscape, especially for older adults. While previous studies have explored various theoretical frameworks like the Technology Acceptance Model (TAM) and Social Support Theory (SST), there's a need for a deeper understanding of older adults' motivations and behaviors on these platforms. This study addresses this gap by applying the Stimulus–Organism–Response (SOR) theory to examine how older adults' perceptions influence their continued use of SNS. This framework considers various factors such as platform quality (PQ), content quality (CQ), knowledge self-efficacy (SE), and social connectedness (SC). It also incorporates perceived enjoyment (PE), self-disclosure (SD), and subjective well-being (WB) as internal states, with SNS continuous use intention (SU) as the ultimate response. Additionally, the study includes habit (HB) as a mediator in the relationship between subjective well-being and SNS continuous use intention. Survey data from 190 older adults in Sabah, Malaysia, were collected for this study, and partial least squares structural equation modelling (PLS-SEM) was employed to validate the proposed framework. PQ, CQ, and SE significantly and positively affect WB and PE. SC positively impacts PE but is not significant with WB. WB mediates the relationships between PQ, CQ, SE, and SU. Additionally, HB mediates the effect of WB on SU. In conclusion, this study emphasises the transformative potential of technological solutions within SNS, offering practical implications for creators and providers. It contributes to developing effective strategies to enhance the SNS experiences of older adults.
Social networking sites, continuance use, older adults, Facebook
Information systems ? Information systems applications ? Collaborative and social computing systems and tools ? Social networking sites
Copyright (c) 2024 Journal of Technology Management and Business https://creativecommons.org/licenses/by-nc-sa/4.0
Decision Support System (DSS) of Project Delay for Improving Project Performance in Construction Project
Malaysia’s construction industry continues to play a significant role in the country's economy and facing problems such as material shortages, quality control, payment disputes, communication breakdowns, and delays in making decisions. Project performance is always affected by project delays due to ineffectively managed construction projects. Thus, this research aims to provide a mechanism for project delay decision support for improving project performance in construction projects. Therefore, the research objectives are to identify the critical factors of project delay affecting the improvement of project performance and analyses decision support requirements in mitigating project delays. Furthermore, a decision support system for mitigating project delays to improve project performance in construction projects will be developed. This research used a qualitative approach for primary data collection with semi-structured interview questions used for data collection. Respondents from G7 Contractors located at Selangor and Wilayah Persekutuan Kuala Lumpur were involved in this research. Data collection from respondent's feedback was analysed through content analysis. Significant findings from this research identified the critical factors of project delay: material shortages, quality control, payment disputes, communication breakdowns, and delays in making decisions. Additionally, human, financial, and materials were significantly identified for decision support requirements. Google Slides and Google Spreadsheets were used for decision support system development and the system has undergone the testing for system application. In conclusion, this research enables us to comprehend the application of a decision support system during the decision-making process to minimize project delays.
Decision Support Systems for Project Delay
Decadal Review of Human Resource Analytics Research
Human Resource analytics is a trending tool that helps companies achieve competitive advantage, and it is constantly evolving to meet the dynamic needs of modern businesses. The constant influx of new research in human resource analytics floods scholars with vast amounts of information in qualitative and conceptual research, making researchers difficult to navigate and identify key contributions. This study evaluates publication trends over the past decade and aims to reveal evolving research patterns. Subsequently, the focus shifts to identify the most influential sources in HR analytics research. Finally, pinpoint emerging themes within HR analytics publications aims to offer valuable insights into current trends and guide future research in this field. This study analyzed 262 articles sourced from the Scopus database using VOSviewer. Using scientific mapping of literature and performance analysis, the discussion encompasses publication trend, geographical distribution of research, identification of influential publications, and emerging trends. A consistent upward trend in HR analytics publications since 2019, with notable publications in different regions, reflect its growing global significance. Interestingly, ethical considerations persist as a central theme, while research focus shifts from general HR topics to specific areas and technology-related terms. The analysis also highlights the evolution of HR analytics into a cross-disciplinary field, incorporating computer science terms, indicating transformative potential for traditional HR practices. The findings provide direction for researchers and organizations, ensuring they remain abreast of the latest developments in the field.
Human Resource Management Practices and Job Performance: A Study of Malaysian Academic Libraries
Job performance stands as a critical element in achieving organizational success, directly influencing productivity, efficiency, and overall workplace effectiveness. Within the realm of academic librarianship in Malaysia, job performance plays a pivotal role in delivering top-notch library services, supporting academic initiatives, and cultivating a conducive learning atmosphere. Despite this significance, there exists a noticeable gap in literature addressing job performance specifically within Malaysian academic libraries. This study aims to fill this void by conducting an extensive literature review and empirical research to shed light on the relationship of job performance and propose strategies for enhancing it among academic librarians. The study targets librarians across 20 public university libraries in Malaysia, analyzing primary data from 287 respondents through inferential statistics using the Statistical Package for the Social Sciences (SPSS). In conclusion, the findings relationship traning and development toward librarian’s job performance that contribute to strong positive relationship with value of pearson correlation, r = 0.486. Ultimately, this study offers recommendations aimed at improving the job performance of academic librarians throughout Malaysia.
Academic librarian, job performance, relationship, correlation analysis
Enhancing Organizational Performance Through Strategic Planning and AI Integration: A Study on Predictive Analysis
This study explores the role of Artificial Intelligence (AI) in enhancing strategic planning and organizational performance in Abu Dhabi's public sector. Despite AI's potential benefits, research in this area, particularly in the public sector, has declined. A comprehensive survey using stratified and random sampling was conducted to gather insights into the perceived benefits, challenges, and resource constraints associated with AI adoption in Abu Dhabi's public sector organizations. The findings, analyzed using SPSS, demonstrate that AI integration in strategic planning can significantly improve decision-making, efficiency, effectiveness, and public service delivery. This study provides valuable insights for policymakers and public sector managers, emphasizing the importance of AI in achieving long-term strategic goals and maintaining a competitive advantage. Future research should explore diverse contexts, specific AI applications, the integration of emerging technologies, comparative studies between organizations, and the ethical and societal implications of AI adoption to ensure responsible and effective use of AI in strategic planning.
Organisation performance, strategic planning, predicting analysis, integration