The Asian Journal of Technology Management (AJTM)
The Asian Journal of Technology Management (AJTM) Is an Open Access Peer-Reviewed Journal That Aims to Promote Interdisciplinary Research on Technology, Management, And Their Intersection Area. It Publishes Complete Research Articles by Worldwide Scholars and Practitioners in The Intersection of Technology and Management Development. The Journal Is Intended as An Instrument for Individuals Conducting Research on Technology Management at Both Micro and Macro Level of Analysis as Well As Its Relationship with Other Business and Managerial Functions Such as Operations, Supply Chain Management, Decision Making, Negotiation Analysis, Marketing, Strategy, Risks, Finance, Human Resource, Innovation, Research and Development, Entrepreneurship, Etc. The Asian Journal of Technology Management (AJTM) Is Accredited by The Directorate General of Research and Development Strengthening, Ministry of Research, Technology, And Higher Education of Republic Indonesia Nomor:158/E/KPT/2021, 4 December 2021 with a Validity Period Of 5 (Five) Years. AJTM Has Been Registered in The CROSSREF System with Digital Object Identifier (DOI), Distributed by PROQUEST And Listed in The Directory of Open Access SHERPA/Romeo. The Journal Has Been Indexed by Directory of Open Access Journals (DOAJ), Dimensions, Google Scholar, SINTA (Science and Technology Index), Asean Citation Index (ACI), Indonesia Onesearch, EBSCOhost Academic Journals. GARUDA. Publication Frequency: The Asian Journal of Technology Management (AJTM) is now published in English. The article is published every 3 quarters, that is April, August, and December (3 issues per year).
Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung
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Firm-Generated Content Vs User-Generated Content: Digital Content Strategies to Build Trust and Encourage Zakat Payments Through Formal Institutions
Abstract. This study examines how firm-generated content (FGC) and user-generated content (UGC) can build trust and encourage zakat payments through formal institutions in Indonesia, where zakat potential is high but often channelled through informal means due to trust issues. Leveraging the Stimulus-Organism-Response (SOR) framework, the research explores how FGC and UGC influence perceived value and trust, ultimately shaping intentions to pay zakat through digital platforms. Data was collected from 269 respondents in Indonesia via an online survey and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). This study has a unique perspective by integrating SOR theory and digital content strategies to gain knowledge about community participation in zakat through formal institutions. Findings reveal that both FGC and UGC positively impact perceived value and trust, with perceived value and trust significantly influencing Zakat's payment intentions. However, zakat knowledge, while important, does not significantly moderate the effect of FGC and UGC on perceived value. These results suggest that high-quality, transparent content that resonates emotionally and authentically with muzaki is crucial in increasing engagement with formal zakat institutions. This study contributes to the literature on digital engagement strategies in non-profit sectors, providing practical insights for zakat institutions in leveraging FGC and UGC to enhance trust and encourage donations. By addressing both cognitive and emotional aspects of donor behavior, zakat institutions can strengthen public trust and increase zakat participation, supporting poverty alleviation efforts in Indonesia. Keywords: Digital Content Strategies, Firm-Generated Content, User-Generated Content, Zakat Institutions
Copyright (c) 2026 The Asian Journal of Technology Management (AJTM) https://creativecommons.org/licenses/by-nc-sa/4.0
Technological Innovation and Market Governance forTrader Satisfaction in Traditional Markets: Evidence fromGarut Regency
Abstract. Traditional markets in non-metropolitan regions need to adapt to changing service expectations, retail competition, and digital transaction practices. However, previous studies have often examined market revitalization, service quality, digital payment adoption, or governance separately, while limited attention has been given to how these factors explain trader satisfaction as an evaluation of market management practices. This study examines the influence of infrastructure quality, service quality, government support, technological innovation, and market governance on trader satisfaction in traditional markets in Garut Regency. Market governance is defined in this study as the clarity of rules, fair treatment, transparency, complaint mechanisms, and communication between traders and market managers. Data were collected from 100 active traders using purposive sampling and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 3. The results show that infrastructure quality, service quality, technological innovation, and market governance significantly influence trader satisfaction, while government support does not show a significant effect. Market governance has the strongest effect, and the model explains 64.4% of the variance in trader satisfaction. These findings provide empirical insight that trader satisfaction is shaped by the alignment of physical facilities, service delivery, technological practices, and governance mechanisms. Practically, local governments and market managers should translate support programs into concrete improvements that traders can directly experience. Keywords: Infrastructure quality, market governance, service quality, technological innovation, trader satisfaction
Technological, Pedagogical and Content Knowledge (TPACK) of Agriculture Teachers: Basis for Mentorship Program
Abstract. Education continuously undergoes transformation driven by evolving teaching-learning settings and paradigm shifts. The COVID-19 pandemic accelerated the adoption of various educational modalities, including online and flexible learning systems. Despite widespread use of technology in education, limited research has examined the technological, pedagogical, and content knowledge (TPACK) of agriculture teachers who face unique challenges due to specialized content and limited pedagogical training. This study addresses this gap by assessing the TPACK competencies of agriculture instructors at a College of Agriculture, where many lack formal teaching education. Using an adapted TPACK instrument, a descriptive quantitative design revealed that teachers perceived their Content Knowledge (CK) as fair, while perceiving moderate competence in Technology Knowledge (TK) and Technological Content Knowledge (TCK). These findings inform the design of a targeted mentorship program to support agriculture teachers in integrating technology effectively into their teaching. The study further revealed strong interrelationships among TPACK constructs, underscoring the integrated nature of technological, pedagogical, and content knowledge essential for effective technology integration in agriculture education. Keywords: Technology, educational technology, agriculture, mentorship program, online education, TPACK
Optimizing the Use of QRIS in the Food Stalls: Analysis of Convenience and Risk on Purchasing Decisions
Abstract. This study investigates the impact of ease of use and perceived risk on QRIS-based purchasing decisions at food stalls in Semarang City, Indonesia. QRIS is a digital payment system. It aims to understand the mediating role of QRIS usage in this relationship. A cross-sectional survey design was employed to collect data from 96 QRIS users. Data analysis included descriptive statistics, correlation analysis tests, and path analysis using SPSS 25 and the Sobel test. Results show that Ease of use significantly influences both QRIS utilization (β = 0.470, p < 0.001) and purchase decisions (β = 0.822, p < 0.001), while perceived risk positively affects QRIS utilization (β = 0.377, p < 0.001) but not directly purchase decisions (p = 0.926). QRIS usage significantly mediates the relationship between ease of use and purchase decisions (Sobel = 5.291, p < 0.001) and between perceived risk and purchase decisions (Sobel = 2.184, p = 0.028). Together, ease of use and perceived risk explain 58.9% of the variance in QRIS usage and 63.5% of purchase decision behavior. Managerially, food stall owners and digital payment providers should prioritize enhancing QRIS usability, improving transaction clarity, and strengthening consumer trust to drive higher purchase conversions and sustain digital payment adoption in micro and small enterprises. Keywords: Ease of use, perceived risk, use of qris, purchase decision, food stalls
Study on the Effectiveness of Internet Advertising Based on Consumer Perspectives in Targeting-Challenged Situations
Abstract. As internet advertising becomes increasingly prevalent, both consumers and advertisers face new challenges, particularly as the phase-out of third-party cookies has reduced the accuracy of ad targeting. In light of such changes, this study examines the effectiveness of online advertising from the consumer's perspective in targeting-constrained environments. An agent-based simulation model was developed to capture the process from ad exposure to purchase and subsequent sharing. The model incorporates key variables such as interest matching, exposure frequency, and social influence. Simulation results demonstrate that even without precise targeting, ad effectiveness can be improved by aligning content with consumer interests and optimizing exposure frequency. These findings offer practical insights into designing privacy-conscious, user-friendly advertising strategies. Keywords: Agent-based modeling, internet advertising, consumer behavior, advertising effectiveness, repeated exposure
Copyright (c) 2025 The Asian Journal of Technology Management (AJTM) https://creativecommons.org/licenses/by-nc-sa/4.0
Harnessing the True Power of Data in Tracing BSCS Graduates of the University
Abstract. This study traces the career trajectories and academic pursuits of Bachelor of Science in Computer Science (BSCS) graduates from 2009 to 2023 to address critical gaps in understanding the alignment between educational outcomes and career success. Despite the increasing interest in graduate tracer studies, there has been limited research on the career paths of BSCS graduates, particularly in how their academic training influences employment outcomes. The research objective is to analyze employment patterns, professional development, job alignment with CHED-defined skills, and motivations for further education. Data from 298 BSCS graduates were analyzed using a combination of descriptive statistics, chi-square tests, and multiple regression analysis. The findings reveal that employment outcomes have remained consistent over the years, with no significant changes in employment status distribution. Additionally, graduates working locally tend to prefer rural areas, while those working abroad favor urban locations. A significant portion of graduates lack professional certifications, with Licensure for Teachers being the most common qualification among those who hold certifications. The alignment of graduates' first jobs with CHED-defined skills was found to have a significant impact on salary and career satisfaction, while factors such as employment location and further studies did not show a significant effect on salary. This study provides valuable insights for curriculum development, career services, and policy improvement, aiming to bridge the gap between academic preparation and the evolving demands of the labor market. Keywords: Graduate tracing, BSCS graduates, graduate salaries, job alignment, and career progression
Graduate Tracing, BSCS Graduates, Graduate Salaries, Job Alignment, and Career Progression
Innovating Service and Marketing to Succeed Market-Based Marketing Performance Adoption
Abstract. This study aims to mediate network empowerment effect on market-based marketing performance of Indonesian private Islamic higher education (PIHE) through e-service & marketing. The respondents of this survey study are 265 elements of the leaders organizing Indonesian PIHE taken using purposive, multi-stage, and simple random sampling methods. The data is taken using the questionnaire sent via Google form link to the respondents through the assistance of 15 coordinators of Coordination of Indonesian PIHE and analyzed using SPSS and SEM with Amos program. e-service & marketing mediates network empowerment effect on market-based marketing performance fully. Network empowerment positively influences market-based marketing performance and e-service & marketing does either. In addition, network empowerment also positively influences e-service & marketing. The findings confirm that network empowerment and e- service & marketing are the resources and capabilities intended by resources-Based View Theory (RBV) which can enhance institutional market-based marketing performance as well as prospective students. As implication, PIHE must plan and employ the constructs to be marketing strategy in highly competitive market. Keywords: Network, e-marketing, e-service, Marketing Performance, and Higher Education
Enhancing IT Project Agility Through Effective Change Management Strategies
In the dynamic landscape of Information Technology (IT) projects, agility is paramount for success. This paper explores the critical role of effective change management strategies in enhancing IT project agility. By integrating change management practices with agile methodologies, organizations can better adapt to evolving requirements and unexpected challenges. This study examines key change management principles and their application within agile frameworks, highlighting best practices and case studies that demonstrate successful outcomes. The findings suggest that a proactive and flexible approach to change management not only mitigates risks but also accelerates project delivery and improves stakeholder satisfaction. Ultimately, the synergy between change management and agility can significantly enhance the performance and resilience of IT projects.
Agile methodologies, change management, IT project management, organizational adaptability, project agility.
Exploring Consumer Switching Behaviour to Social Commerce: A Study on Generation X in Malaysia
Abstract. Malaysia’s social commerce landscape is expanding rapidly, with Generation X serving as a critical demographic in this transition. Grounded in the Push-Pull-Mooring (PPM) theory, this study investigates the factors influencing their adoption of social commerce. A survey of 100 Malaysian participants aged 42–58 identified trust as the most significant determinant (β =0.281), while concerns regarding performance risks negatively impacted perceived ease of use. Perceived enjoyment, media usefulness, and product informativeness were found to have positive correlations with performance risk concerns. These findings highlight the complex interplay of push factors (dissatisfaction), pull factors (platform appeal), and mooring factors (commitment, herd behavior) in shaping Generation X’s engagement with social commerce. This study contributes to the literature by addressing a research gap in social commerce adoption among Generation X, a demographic often overlooked in favor of younger consumers. By employing the PPM framework, the research provides a structured analysis of consumer switching behavior, emphasizing trust as a critical enabler and performance risk as a significant barrier. The findings underscore the necessity for businesses to enhance transparency and reliability to foster trust while leveraging enjoyment, media usefulness, and informativeness to optimize user engagement. These insights offer practical implications for businesses seeking to refine strategies targeting Generation X consumers in Malaysia’s evolving social commerce ecosystem. Keywords: Social commerce; generation x; push-pull-mooring theory; trust; performance risk; Malaysia; consumer behavior
Optimization of BRIN’s Technology License: Conjoint Experimental Study
Abstract. Commercialization of research products is a common problem in the product development stage of research institutions where many research products are not utilized to become commercial value. This study aims to analyze the opportunity evaluation by business actors in utilizing technology products from research institutions, especially the National Research and Innovation Agency (BRIN). Conjoint analysis design was carried out to see respondents' assessments of a series of profiles containing theory-based variable manipulations and their influence on decision making according to opportunity evaluation theory. The questionnaire was filled out by 101 individuals who have decision-making authority in the company and analyzed using the Mixed-effect model regression technique. Opportunity attributes (prototype maturity, segment clarity and regulatory hurdless) have a significant effect on the opportunity evaluation to license BRIN’s research products. We document the moderating role of individual attributes and environmental dynamism attributes on the influence of opportunity attributes on the opportunity evaluation to license BRIN’s research products. This study uses a different approach in analyzing the factors of industry licensing decisions for research products from research institutions by applying opportunity evaluation. This study offers insights for research institutions in utilizing research products for business actors through licensing schemes. Keywords: Commercialization, opportunity evaluation, conjoint analysis, organizational behavior, licensing
Analysis of SIMBA’s Implementation Regarding the Effectiveness of BAZNAS Bogor District Zakat Management
Abstract. This study aims to evaluate the implementation and effectiveness of SIMBA at BAZNAS Bogor Regency, as well as the effectiveness of zakat management. Using a qualitative case study approach, data was collected through interviews and literature study. SIMBA’s effectiveness was measured using DeLone and McLean’s information system (D&M IS) success model, while the effectiveness of zakat management was measured using the allocation to collection ratio (ACR) method. The results show that SIMBA is effective in supporting zakat management, with features that facilitate access to accurate and timely information. Zakat management is also considered effective, with a positive ACR average. Despite technical glitches, users express strong satisfaction with SIMBA, especially regarding its convenience, transparency, and enhanced accountability. Keywords: SIMBA, BAZNAS Bogor Regency, D&M IS Success, ACR
Boosting E-Commerce Financial Performance with QuickPack: An Android-Based Packer Tracking Solution
Abstract. The COVID-19 pandemic has emphasized the need for financial performance improvement, especially in Indonesia’s rapidly growing e-commerce sector. Manual processes are time-consuming and error-prone, making it difficult to reward productivity effectively. This study develops QuickPack, an Android Studio-based app to track packers in an online shop, enhancing efficiency through automation technology. Using the Waterfall model, Firebase, and Kotlin, QuickPack provides real-time performance tracking. Researchers applied qualitative methods, observing and interviewing packers, managers, and owners before and after implementation. The app offers features like user registration, receipt tracking, daily monitoring, performance reporting, and target setting. Results show a 63% financial performance boost and an 80-90% speed increase on peak days. QuickPack reduces labor costs, minimizes errors, improves productivity, and streamlines operations, lowering the need for additional staff. Monetization opportunities, such as premium tracking services, further enhance revenue. Improved security also mitigates fraud risks. Modernizing operations, QuickPack increases revenue, reduces financial risks, and enhances job satisfaction through transparent performance tracking. Successfully developed and tested, the app improves packing efficiency and strengthens financial performance for online shops. Keywords: QuickPack application, e-commerce, automation technology, financial performance, performance tracking
Challenges to the Development of a Flipped Classroom in Grade 6 Geography
Abstract. This qualitative study explores the challenges facing efforts to develop a flipped classroom in grade 6 geography classes at a school district in North West Province, South Africa. This research was conducted because the current instructional practices in these classes leave much to be desired, encouraging passive learning among students. Data was collected, following purposive sampling, from five grade 6 geography teachers and five department heads through face-to-face interviews and, later, non-participant classroom observations with the teachers. The findings reveal that, although teachers are keen on integrating information and communications technology in their classrooms, they lack the necessary digital tools. This problem is exacerbated by their shallow technology skills, which hinder their efforts to flip the classroom. Even though learners are typically digitally savvy, contextual factors prevent them from learning independently through digital means, leaving them with a passive learning approach. Ultimately, the study recommends, among other proposals, that teachers be trained to use ICT and digital tools so as to facilitate digitally enabled classrooms. Keywords: Flipped classroom, information and communications technology, geography, technological and pedagogical content knowledge
Information and Communication Technology
technological and Pedagogical Content Knowledge
Technology transfer success: An investigation of contributory factors
Abstract. The purpose of the study was to investigate factors that contribute to the success of technology transfers. The specific objectives were to investigate 1) technological capabilities acquired by recipient firms through the technology transfer at the project level, 2) contributory factors that influence technology transfer, and 3) whether technological capabilities acquired by recipient firms are affected by these contributory factors. The study was conducted in Sri Lanka. The study developed a set of success factors and performance indicators to assess technological capabilities acquired by technology recipient firms. The study found two main types of technological capabilities gained by recipient firms through the technology transfer - “converting and acquiring capability” and “vending, modifying and generating capability”. Further, the study found five contributing factors for technology transfer - process management, intended use of technology, transfer components, technology needs analysis, and IP protection and licensing. It is also found that all five contributing factors significantly positively predict both types of technological capabilities gained by recipient firms through technology transfer. The findings of the study presented in this paper make valuable contributions to the existing literature on technology management and technology transfer. Keywords: Asia, developing countries, international technology transfer, technology transfer, technology capabilities
Linking Entrepreneurship Education to Entrepreneurial Intentions: A Social Cognitive and Resource-Based Perspective
Abstract. This study investigates the impact of entrepreneurship education and creativity on entrepreneurial intentions among university students in Indonesia, incorporating entrepreneurial self-efficacy as a mediator and resilience as a moderator. Grounded in Social Cognitive Theory and the Resource-Based View, the research examines how educational experiences, and psychological traits interact to shape students’ entrepreneurial motivation. Using survey data from 400 students across five Indonesian islands, Java, Sumatra, Lombok, Bali, and Sulawesi, the model was tested using Structural Equation Modeling and Multi-Group Analysis. The results reveal that both entrepreneurship education and creativity significantly influence entrepreneurial intentions. Entrepreneurial self-efficacy mediates these relationships, reinforcing its role as a psychological mechanism that enables students to transform learning and creative potential into entrepreneurial drive. Additionally, the relationship between entrepreneurship education and intention is significantly stronger for students with high levels of self-efficacy and resilience, but not significant among those with low levels of these traits. These findings highlight the importance of psychological readiness in maximizing the impact of entrepreneurship education. Practically, universities should adopt pedagogical approaches that combine experiential learning with efforts to build self-efficacy, stimulate creativity, and cultivate resilience to better prepare students for entrepreneurial careers in emerging and dynamic economic contexts. Keywords: Entrepreneurship education, entrepreneurial intentions, entrepreneurial self-efficacy, creativity, resilience, Indonesia
Harnessing The AAOIFI Transaction Standard for Halal Digital Entrepreneurship Engagement: Empirical Evidence from Indonesian Entrepreneurship
Abstract. Halal entrepreneurship is relevant for national economic growth, with the application of the AAOIFI transaction standard (ATS) having diverse impacts on halal digital entrepreneurship engagement. Despite the significant halal market value, ATS influence on business practices presents significant opportunities and challenges for halal digital entrepreneurship engagement, particularly in Indonesia. This qualitative study investigates the relevance and applicability of ATS in Indonesia’s halal digital entrepreneurship engagements through 13 purposive sampling semi-structured interviews analyzed thematically (open coding and axial coding) using NVIVO software. Findings accompanied by negative cases highlight the practical theme of strategic engagement and application of the ATS, contributing new perspectives to halal entrepreneurship theory and practice in halal digital business that harnesses the ATS. This theoretical implication extends the understanding of halal digital entrepreneurship and conforms to the importance of integrating AAOIFI into the halal ecosystem. Practical implications include leveraging ATS for digital business growth while upholding Islamic values, extending ATS application to the real sector, both globally and digitally, and understanding ATS as crucial for success in halal digital businesses. Keywords: Halal entrepreneurship, entrepreneurship engagement, AAOIFI transaction standard, Indonesia’s halal digital business, thematic analysis
Copyright (c) 2024 The Asian Journal of Technology Management (AJTM) https://creativecommons.org/licenses/by-nc-sa/4.0
University-Industry Collaboration and Innovation Performance
Abstract. The Indonesian government, through the Ministry of Education, Culture, Research, and Technology (Kemdikbudristek) has introduced the Matching Fund (MF) program. MF is a concrete form of government support and intervention to create collaboration and strategic synergy between higher education institutions (universities) and industry. This study aims to investigate and analyze various forms of collaboration and interaction between universities and industry and their impact on innovation performance in the Matching Fund (MF) program. This study uses an interpretive qualitative methodology with eight (8) case studies of the MF program at the University of Surabaya, Indonesia, during the period 2021 to 2023. The results of the study show that the forms of interaction that occur are very diverse, ranging from informal to very formal interactions. This study also shows that the number and form of interactions are not influenced by the duration of the collaboration. The variety of forms of interaction is more determined by the quality of the company and university leaders, good relationships and mutual trust between the two parties, good relationships, coordination, and communication between the persons in charge (PICs) of the two parties. Furthermore, the results of the study show that the MF program provides direct innovation outcome (DIO) and indirect innovation outcome (IIO) results for companies. On the other hand, the MF university-industry collaboration program also provides positive results for the universities in terms of DIO and IIO, but not all university-industry collaboration projects provide maximum results for academic innovation (AI). The duration of cooperation, mutual trust, and good coordination and communication between the persons in charge (PICs) of the two parties all have a greater influence on AI. Keywords: University, Industry, Collaboration, Matching Fund, and Innovation Performance
The Organizational Design for Automation and Digitalization Initiative using Analytical Hierarchy Process – A Case Study of an Aerospace Manufacturer in Indonesia
Abstract. Industry 4.0 become popular when it launched first time in 2011. This revolution refers to interconnection of manufacturing system, which known as Internet of Things. As Indonesia embrace the challenge in 2018, PT SKY, an Indonesia aerospace manufacturing company start the initiative at 2020, by configure digital council. This is to facilitate automation and digitalization initiative within the organization. The team member is part timer from cross function department, who passionate and occupy by self-develop skill on it. Recent challenge of growth of customer demand, and some constraint face by digital council, management view an opportunity to be cost competitive organization company, by develop more focus on automation and digitalization. However, a challenge for company in low-cost country, require proper strategy approach. Based on organization design theory, strategy, and organization structure, have correlation. This study explores the propose organizational design for the company. A decision-making analysis performed thru AHP (Analytic Hierarchy Process) approach to select highest ranking of three alternatives of organization structure, with three criteria. Result analysis show hybrid as highest-ranking score 0.464, then follow by semi structured interview, thematic data analysis, to collect the insight from the team. Based on research execution, the study able to recommends hybrid organization structure with three important actions, to bridge from current digital council ad hoc organization. Keywords: Organization design, manufacturing, AHP, Industry 4.0
The Impact of Other Comprehensive Income Volatility, Research and Development Investment, and Earnings Management on Cost of Capital: The Moderating Role of Agency Cost
Abstract. In 2025, forecasts indicate that Asian companies, especially from China and India, will dominate the IPO market. Understanding global capital cost drivers is essential, particularly as energy sector costs increase. Research highlights that superior accounting information can narrow the investor-management gap, reducing equity and debt. This study investigates the impact of Other Comprehensive Income (OCI) volatility, Research and Development (R&D) investment, and earnings management on cost of capital, considering the potential moderating effect of agency costs. The analysis includes 1,565 observations across 313 firms from 2018 to 2022, focusing on the energy sector in China, India, the United States, and Indonesia. The study uses panel data regression to examine the relationships between OCI volatility, R&D investment, earnings management, and cost of capital, focusing on agency costs’ moderating role. Initial findings reveal that earnings management significantly and negatively influences cost of capital. Further, R&D investments in China and Indonesia show a negative and significant impact on cost of capital, contrary to positive and significant findings in India and the United States. Companies are advised to sustain efficient, future-oriented project selections. Keywords: OCI Volatility, R&D investment, earnings management, agency cost, cost of capital
Developing Innovative Work Behavior in Retail E-Commerce Workers: Investigating the Effects of High-Performance Work Systems and Other Mediating Variables
Abstract. The e-commerce industry is considered a key driver of the digital economy in Indonesia. Therefore, the progress and sustainability of companies in the e-commerce industry, particularly in e-commerce retail, are of great importance. Fostering innovative behavior among employees in e-commerce retail companies is crucial. Hence, this research investigates the influence of high-performance work systems (HPWS) on innovative work behavior (IWB) in employees, and how psychological capital (PsyCap) and work engagement mediate this relationship. This study utilizes covariance-based structural equation modeling (CB-SEM) to analyze direct and mediating effects on IWB. The research findings indicate that there is a simultaneous (t-value = 4.4) and separate mediating influence of PsyCap (t-value = 5.87) and Work Engagement (t-value = 3.67) on the relationship between HPWS and IWB. The direct impact of HPWS on IWB is also significant (t-value = 1.70). This study provides practical insights for management to cultivate innovative behavior among employees through recommended HPWS practices, and how individual factors may explain the effect of HPWS in cultivating IWB. Additionally, it offers an overview of the flow of influence from HPWS to IWB, which can provide further research opportunities in the IWB development field. Keywords: HPWS, IWB, PsyCap, Work Engagement, e-commerce
Improving Mushroom Cultivation Efficiency through Mobile App-based Data Visualization
Abstract. The increasing global population has spurred a greater need for agricultural products, particularly mushrooms, which are valued for their exceptional nutritional content and rapid growth rates. To optimize mushroom cultivation, it's vital to monitor environmental factors like temperature and humidity for ideal growth conditions. This study introduces an Internet of Things (IoT)-based mobile app for ongoing monitoring of temperature and humidity within mushroom cultivation structures, using sensor, microcontroller, LCD display, and mobile apps. The setup involves strategic placement of system components to efficiently gather data. The mobile app boasts a user-friendly interface for easy navigation and access to critical insights. The assessment of data transmission gives efficient information flow, less than 2% missclicks and 96% effectivity score, with minimal delays. Notably, the mobile app's features exhibit high accuracy and efficacy in delivering real-time updates on cultivation conditions. Furthermore, a survey using a Likert scale garnered positive user feedback, affirming the app's potential value in mushroom farming. This innovative system holds promise in elevating sustainability and profitability in the mushroom cultivation sector. Keywords: IoT, Monitoring system, Mushroom cultivation, Mobile application
An ARDL Modelling Approach to Assess the Dynamic Effects of Economic Development and CO2 Emissions in Malaysia
Abstract. This research paper conducts a comprehensive analysis of the complex relationship between CO2 emissions and economic factors, specifically investigating the Environmental Kuznets Curve (EKC) theory in Malaysia. Using data from 1991 to 2020, the study applies the Autoregressive Distributed Lag (ARDL) modelling approach developed by Pesaran et al. (2001). The results demonstrate a significant long-term connection between Gross Domestic Product (GDP), trade, and carbon emissions, indicating that economic development plays a crucial role in influencing Malaysia's carbon footprint. Additionally, the inclusion of institutional quality in the model adds another layer of complexity, highlighting the multifaceted nature of the relationship between economic progress and environmental outcomes. Furthermore, examining short-term dynamics using the ARDL model reveals diverse effects over time for variables such as renewable energy and institutional quality, providing a more nuanced understanding of these relationships. These detailed insights are essential for policymakers dealing with the challenges of promoting economic progress while ensuring environmental sustainability. The findings contribute to a deeper understanding of the interplay between economic variables and CO2 emissions, offering valuable guidance for policymakers striving to strike a balance between economic growth and environmental conservation in Malaysia. Keywords: Malaysia, autoregressive distributed lag (ardl) modelling, environmental kuznets curve (ekc), carbon dioxide (co2) emissions, gross domestic product (gdp), renewable energy (ren), institutional quality (iq), trade (tr)
When Fear of Covid Is Not the Main Reason to Use Online Technology
Abstract. Purpose: analyzing how fear of Covid-19 influences technology utilization attitude towards intention to use. Design/methodology/approach: This study used a quantitative approach conducted post Covid-19. Involving a sample of 138 mobile application users for health insurance services in Bali, Indonesia, by utilizing the PLS-SEM model analysis tool. Findings: Technology Acceptance Model (TAM), through its two elements, Perceived usefulness (PU) and Perceived ease of use (PEOU), has proven to significantly form a supportive attitude about the use of information technology in the Covid-19 pandemic, as well as the influence of attitudes towards behavior intention to use (BIU) in the use of technology has also been proven clearly in the context of TAM. But TAM's ability to form intention directly can only be confirmed through PU, while PEOU has not been able to be proven. Fear of Covid-19 has not been shown to play a role in moderating the influence of attitude on intention. Practical/implications: Encouraging attitude is very important to use technology based on usability and ease of using technology. However, it is not feasible to consider fear of Covid-19 as a factor to encourage people's attitudes towards technology to promote intention to use application technology for transactions. Originality/value: This study provides new insights, first to collaborate on fear of Covid on TAM and TRA. Examining the impact of Covid-19 fear moderation on the acceptance of mobile applications in the health insurance service industry and providing important information that people's behavior does not consider the dangers of Covid-19 when adopting information technology services in the future. Keywords: Technology acceptance model, perceived usefulness, perceive ease of use, attitude toward using, fear of Covid-19
The Drivers of carbon emissions in emerging economies
Abstract. This study investigates the influence of Artificial Intelligence (AI) implementation on recruitment outcomes, focusing on the mediating role of candidate experience and the moderating effects of trust in AI and organizational culture. Using a quantitative research design, data were collected from HR professionals across various industries in Indonesia. The results reveal that AI implementation positively affects candidate experience and quality of hires, with candidate experience acting as a significant mediator in these relationships. Trust in AI is found to play a dual role, both directly influencing candidate experience and quality of hires and moderating the relationship between AI implementation and candidate experience. Organizational culture, particularly an innovation-oriented culture, strengthens the impact of AI implementation on candidate experience. The study contributes to the theoretical understanding of candidate experience as a higher-order construct and highlights the importance of trust and cultural alignment in AI-driven recruitment. Practical implications emphasize the need for transparent AI systems, regular feedback, and fostering an innovation-oriented culture to enhance recruitment outcomes. Limitations include the cross-sectional design and the focus on a single country, suggesting opportunities for future research to explore longitudinal effects and cross-cultural comparisons. Keywords: Artificial intelligence, candidate experience, trust, organizational culture, quality of hires
Carbon dioxide emissions, economic growth, urbanisation, natural resource rents, electricity consumption, Environmental Kuznets Curve
Exploring The Dynamics of Inflation, Interest Rates, and Us Dollar Exchange Rates: A Comprehensive Quantitative Analysis From 2013 To 2023
Abstract. This study examines the relationships between inflation, interest rates, and US dollar exchange rates from 2013 to 2023. The main objective is to evaluate the value of the US dollar (USD) and understand how key economic indicators interact. Using advanced quantitative analysis, we identify patterns that define these variables. A macro model incorporating the natural logarithms of the USD Index (USDX), Federal Funds Rate (FFR), and Consumer Price Index (CPI) addresses time-related and growth factors. By tracking inflation, interest rates, and dollar fluctuations, we gain insights into the factors influencing the US economy. The findings highlight the slow adjustment of inflation towards long-term stability and reveal significant causal relationships among the variables. As global financial conditions evolve, this study offers relevant insights for policymakers, economists, and market participants on navigating the dynamics of inflation, interest rates, and exchange rates in today's economic landscape. Keywords: Inflation; exchange rate; the United States; fed; fed funds rate
Are Individual Investors Attracted to Shareholder Perks in the Emerging Markets? An Experimental Study in Indonesia
Abstract. Choice-Based Conjoint (CBC) analysis experiment is conducted in this study to investigate perception equivalency of shareholder perks (SP) and dividend policy among Indonesian investors and to examine whether SP as a new alternative of payout policy can attract more individual investors in Indonesia. The results show that investors prefer SP over dividend in both 2 and 4 percent yield. However, the marginal utility of SP is decreasing to yield. This result suggests that individual investors prefer to receive SP rather than no dividends but they do not expect to receive an excessive number of SP when it is possible for the company to distribute a high amount of cash dividend. Furthermore, the results grouped by gender indicates that female respondents are prefer SP to dividend and have a higher economic value on SP than their male counterpart. Practically, by investing in an SP-paying stocks, individual investors are able to buy their favourite brands and products at lower prices which might be more beneficial than receiving a small amount of cash dividends. Meanwhile, for companies, the results imply that the distribution of SP can attract a number of individual investors, particularly women. Keywords: Shareholder Perks, Dividend Policy, Individual Investor, Conjoint Analysis, Indonesia
Copyright (c) 2023 The Asian Journal of Technology Management (AJTM) https://creativecommons.org/licenses/by-nc-sa/4.0
An Extreme Gradient Boosting Approach for Classification and Sentiment Analysis
Since 2020, when the coronavirus epidemic was at its peak, the Indonesian Ministry of Health's social media accounts have been constantly followed by a big number of individuals. The Indonesian Ministry of Health account is a fantastic resource for social media users, particularly Twitter users. The Republic of Indonesia's Ministry of Health's Twitter account publishes a wide range of content at random. As a result, it is usually difficult for Twitter users to determine the type of information provided by the Ministry of Health of the Republic of Indonesia. The positive and negative responses of Twitter users to material released by the Indonesian Ministry of Health's Twitter account are frequently noted. The decision tree algorithm is tree-based, similar to the extreme gradient boosting method (XGBoost). The extreme gradient boosting approach has been successfully implemented with high performance in the classification process. This classification is separated into two primary categories: general and essential information categorization and sentiment analysis, which is classified into three classes: positive, neutral, and negative. Both the classification work and the sentiment analysis produced outstanding accuracy levels. Based on 2243 tweets, an accuracy rate of 89.35% has been achieved for classification, supported by a precision of 88.76% and a recall value of 88.58% when using 80 data training and 20 data testing. Similarly, the maximum accuracy in sentiment analysis was achieved utilizing the same 80-20 data partitioning, with a 91.22% accuracy rate. Using 304 comments data, accuracy was calculated to be 89.17% and recall was calculated to be 89.06%. It's worth noting that an 80-20 split for training and testing consistently produced the best results for both the sentiment analysis and classification tasks.
Republic of Indonesia The Ministry of Health
Determinant Implementation of Accounting Digitalization in MSMEs
Abstract: This research was conducted with the aim of determining the influence of relative advantage, organizational readiness, effort expectations and facilitating conditions on the implementation of accounting digitalization using a sampling technique, namely purposive sampling. This research was obtained in the form of primary data using collection techniques through questionnaires with a total of 116 MSME respondents in the city of Surakarta. The research method used is quantitative with data analysis techniques, namely variant-based Structural Equation Modeling (SEM). The data that has been collected is analyzed using SmartPLS 4. The results of this research find that expectations of efforts and facilitating conditions have a positive effect on the implementation of accounting digitalization, which means that accounting digitalization provides convenience and adequate facilities. Meanwhile, relative superiority and organizational readiness have a negative effect on the implementation of accounting digitalization, which means that MSME players feel that accounting digitalization does not provide adequate information for their business processes. The implication of the results of this research is to encourage the government to support the use of digital accounting among MSMEs by providing training in the form of socializing the use of new applications or technology to simplify the process of managing business finances. Keywords: Accounting digitalization, MSME, relative advantage, organizational readiness, expected effort
An Empirical Analysis of The Trilemma: Inflation, Interest Rate and Exchange Rate Dynamics in Singapore
Abstract. This study considers the correlation among the Consumer Price Index (CPI), the Singapore /US dollar exchange rate, and the Singapore overnight rate average from 2012 to 2023 in Singapore. This small and open economy effectively manages its monetary policy to maintain a healthy inflation rate but has experienced high inflation rates and slow economic growth, raising questions about the effectiveness of the floating exchange rate system adopted by the Monetary Authority of Singapore in recent years. This study employs unit root and cointegration tests, impulse response functions, and variance decomposition. According to the vector error correction model specification, the production function primarily facilitated short-term adjustments toward long-term equilibrium; however, these adjustments were gradual, and it took more than two years to respond to system shocks. Analyses of the impulse response functions and variance decomposition indicate that changes in the variables resulted in analogous behavior patterns, with notable effects that primarily differ in their response to shocks. The empirical evidence supports the view that inflation controls are more sensitive to interest rate adjustment in Singapore. The findings of the present research provide valuable insights and have numerous important implications for the macroeconomic evaluation of Singapore. The study acknowledges that economies are subject to unforeseen events like global crises or pandemics, which can impact exchange rates and inflation beyond the scope of policy measures, and these might not be fully captured in the study. Keywords: Consumer price index, singapore overnight rate average (sora), monetary authority of singapore, free economy, monetary policy, foreign exchange policy
Collaboration In the Medical Device Innovation During the Covid-19 Pandemic in Indonesia: A Network Analysis
Abstract. This study identifies social network of medical device innovation during the Covid-19 pandemic in Indonesia. We employed the Social Network Analysis (SNA) from the collected data through semi-structured interview and document analysis. We focused on two case studies of therapeutic devices that have successfully been collaboratively developed and gained marketing license for Covid-19 treatment in Indonesia, i.e. Gerlip HFNC-01 and Covent-20. The study finds that heterogenous actors (university, public research institute, firm, government, society, non-government organization, users) share resources in each stage of the innovation process that demands distinct functions and resources from idea generation, product development, testing and implementation. The relations between actors happen by some means: joint project, resource sharing, and government direction. Key actors should be able to reach as many actors and bridge communication in order to develop network interdependence and to facilitate innovation. Eventually, the government plays a significant role to accelerate innovation through some fruitful policy packages. Keywords: Collaboration, innovation process, medical device, social network analysis