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The Asian Journal of Technology Management (AJTM)
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Core Subject : Science,
PURPOSE The Asian Journal of Technology management aims to promote interdisciplinary research regarding the special problems and opportunities related to technology management fields in Asia and its effects beyond. It publishes papers by worldwide scholars, practitioners, and those interested in Asian technology development under one of these classifications research paper, viewpoint, conceptual paper, case study, literature review. 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 managerial functions such as operations, marketing finance, and human resource. READERSHIP Researchers, educator, senior practitioners in the areas of technology economics, research and development, innovation management, technology management, technology transfer, technology and business strategy will find the journal interest. UNIQUENESS AS ATTRACTIVENESS FACTOR The uniqueness factor of Asian Journal of Technology Management is the scope of study which views the intersect of Technology and Management in a fashionable and unique way in creating competitive advantage of corporations and nations in Asia. As we are facing a fast changing Asia, where old customs and tradition meet technology adoption and the government, industry, corporations; the journal intends to take part in the swift change and is filling a niche in the journal business. There is no other journal that intersects Technology Management and micro-macro level analyzes in the continent of Asia where extensive and considerable shift of technology adoption is in a fast pace. AJTM Journal Indexed by Cross Ref, Index Copernicus, Google Scholar, DOAJ and Indonesian Publication Index (IPI). Print ISSN: 1978-6956; Online ISSN: 2089-791X
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Articles 296 Documents
Digital Halal Logistics: The Perspective of Food Delivery Riders Ismail, Shahrinaz; Othman, Nur Fazura
The Asian Journal of Technology Management (AJTM) Vol. 15 No. 2 (2022)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2022.15.2.2

Abstract

Abstract. The growing awareness of Halal compliance in today’s community shows the importance of Halal on the quality of products manufactured worldwide. Hence, it is crucial to ensure that the concept of Halal extends to the entire supply chain, from the farm to the consumer. Most research covers manufacturing and procurement, leaving Halal-compliant distribution and logistics open to a number of research opportunities. We conduct an investigation into digital Halal logistics from the perspective of the individual food delivery riders, focusing on the operational level of the supply chain. The extensive reliance on Internet-enabled smart phones and the growing popularity of food delivery have created an increasing number of job opportunities for delivery riders, mainly on motorcycles. However, there is a question around whether or not this delivery process is Halal compliant, given that the riders face many challenges in ensuring an acceptable quality of service. This study investigates how the riders perceive Halal compliance in the food delivery industry, and provides suggestions for the implementation of digital Halal at various operational checkpoints. Keywords: Digital logistics, Halal logistics, supply chain management, delivery riders.
Exploring Voice of Customers to Chatbot for Customer Service with Sentiment Analysis Murwati, Anggun Siwi; Aldianto, Leo
The Asian Journal of Technology Management (AJTM) Vol. 15 No. 2 (2022)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2022.15.2.4

Abstract

Abstract. Chatbots have been widely employed across a wide variety of companies and industries, from small- and medium-sized businesses to large corporations, and from e-commerce to financial institutions. Although chatbots have proven to be far more efficient and quicker than human agents, they do not always provide customers with a satisfactory experience because they lack a personal touch. Customer issues are often left unresolved and many are unsatisfied with chatbot services. This is unfavorable for firms that use chatbots for customer services as this jeopardizes their relationship with valued consumers. Thus, customer input is essential to streamline the product innovation process. This study uses a hybrid method involving lexicon-based TextBlob and logistic regression techniques to identify the sentiments of consumers toward chatbots for customer services based on user-generated content on Twitter. The results show that although people generally have positive encounters with chatbots, the gap between positive and negative sentiments is relatively small. This research provides insights that businesses can use to improve chatbot technology based on the voice of the customer to provide users with higher quality customer services in the future, especially since unsatisfied customers could be a threat to a business’s performance. Keywords:  chatbot, customer services, sentiment analysis, social media mining, voice of customers.
Toward Platform-Economy Continuity: Do Descriptive Norms and Perceived Product Attributes Matter to Youths who Use Ride-Hailing Apps? Fauzi, Abu Amar
The Asian Journal of Technology Management (AJTM) Vol. 15 No. 2 (2022)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2022.15.2.5

Abstract

Abstract. This study investigates how descriptive norms and perceived product attributes (utilitarian and hedonic benefits) influence the intention of young consumers to continue to adopt ride-hailing apps. We developed a conceptual model drawing upon the socio-technical theory by involving 333 Indonesian users of ride-hailing apps and estimating the model using the statistical tool of PLS-SEM-based software. The findings showed that social aspects (descriptive norms) and technical aspects (utilitarian and hedonic benefits) significantly influence young consumers to adopt ride-hailing apps. Intriguingly, a positive perception of the apps’ benefits is instrumental for encouraging young consumers to continue to adopt ride-hailing apps when descriptive norms appear, when peers in their social circle widely adopt similar apps. This study highlights the unique behavior of young consumers in adopting ride-hailing apps by accentuating the role of descriptive norms and perceived product attributes from the perspective of socio-technical theory. This study provides practical recommendations for digital platform providers, particularly TNCs (Transportation Network Companies), which offer ride-hailing services to address the young consumer segment with a community-based marketing approach to maintain their continued adoption.   Keywords: Continuation intention, platform economy, digital platform, ride-hailing services, socio-technical theory, young consumers
Are Content Marketing and Switching Barriers Decisive in Building Consumer Satisfaction, Trust and Loyalty on Ride-Hailing Services in Indonesia Ramadania; Hartono; Juniwati; Hendra; Reswari, Rianti Ardana
The Asian Journal of Technology Management (AJTM) Vol. 16 No. 2 (2023)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2023.16.2.1

Abstract

Abstract. This study is aimed to investigate factors influencing customer loyalty of community-based ride-hailing service in Indonesia. More specifically, this study examines the relationship between content marketing, switching barriers, customer trust, and satisfaction toward customer loyalty. Data was collected through a survey of 180 respondents. Proposed hypothesis is tested using Partial Least Squares - Structural Equation Modelling. The variables in this study are content marketing and switching barriers as exogenous variables, trust and satisfaction as endogenous intervening variables and customer loyalty being final endogenous variables. The measurement scale uses a Likert scale from 1-5. The results show a positive influence between content marketing on customer trust and satisfaction, then there is also positive influence between satisfaction and trust on customer loyalty. However, switching barriers have no effect on trust, satisfaction, and loyalty of community-based ride hailing service users in Indonesia. The technique of collecting data through online media does not allow researchers to conduct in-depth interviews with respondents. Most of the existing research so far does not emphasize the importance of building loyalty through content marketing strategies. This study emphasizes the importance of content marketing strategies in building loyalty through intermediary satisfaction and trust in community-based ride hailing service businesses. Keywords: Content marketing, switching barriers, satisfaction, trust, loyalty, community-based ride hailing service.
Elevating Consumer Decision Journey to Increase Consumer Loyalty in Tokopedia and Shopee for PT. SNACK LEZAT Products Mulya, Ardyanto; Wibowo, Satya Aditya; Purwanegara, Mustika Sufiati
The Asian Journal of Technology Management (AJTM) Vol. 16 No. 3 (2023)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2023.16.3.4

Abstract

Abstract. Southeast Asia region's digital service growth trend is accelerating, with 60% of new digital users joining in the previous two years. This has an effect on e-commerce sales, which have risen quickly in recent years and are expected to rise further. Edible groceries in Indonesia are expected to increase with compounded annual growth rate 16.9% between 2022 - 2027. This growth is in line with the retail evolution from traditional market, modern market, to digital market PT. SNACK LEZAT is a global snack company and currently is focusing on e-commerce channels that still in an early stage of development and the sales are largely dependent on promotional periods.  This research aims to identify the stages of the consumer decision journey to loyalty, so the right marketing strategy can be formulated and increase the repeat buyers to create a higher and sustained sales baseline. This research methodology was carried out using qualitative in-depth interviews and netnography. In-depth interviews were conducted with eight respondents, four of whom had purchased PT. SNACK LEZAT and four of whom had never purchased PT. SNACK LEZAT product. Netnography is carried out using the word cloud analysis based on product reviews in Shopee and Tokopedia platforms. The findings of this study reveal the expectations of each stage in consumer decisions journey to determine purchases on e-commerce platforms.
Customer Intention to Use AI Technology on Beauty Industry Pambudi, Yustikarani Julianti; Dwinata JS, I Putu Wahyu
The Asian Journal of Technology Management (AJTM) Vol. 16 No. 2 (2023)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2023.16.2.5

Abstract

Artificial intelligence has emerged as one of the biggest disruptive technologies of the new era and will continue to evolve in the future. AI takes an important role in marketing processes, and the use of AI in marketing is massively increasing and can be easily found. Beauty industry is one of the industries where most companies develop their AI technology to attract customers. This innovation utilizes AI technology in providing solutions to problems related to makeup and/or skincare as experienced by the customers. This study aims to analyze the relationship between technology readiness, technology acceptance model and subjective norm as potential factors in encouraging the customer to use AI technology in the beauty industry. The data was collected using a google form questionnaire. The sampling technique for this research was purposive random sampling. A total of 155 responses were collated and only 127 responses are qualified with the criteria ‘ever using AI Technology in the beauty industry’. The results showed that while perceived usefulness had no significant impact on the intention to utilize AI technology, perceived comfort and subjective standards did. Additionally, the perceived advantages and ease of use are affected differently by each element of technology readiness.
NFT Investments Analysis: A Strategic Approach with Ranking Insights and Sales Forecasting System for Informed Decision-Making Fitria, Vivi Aida; Afandi, Arif Nur; Aripriharta, Aripriharta; Widayanti, Lilis; Sulistyo, Danang Arbian
The Asian Journal of Technology Management (AJTM) Vol. 16 No. 2 (2023)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2023.16.2.2

Abstract

Abstract. The non-fungible token (NFT) is a unique token used to represent digital assets such as art, music, videos, and other collections. NFT has gained significant attention from the business and industry sectors in recent years. This study reports an increase in the number of active NFT users from 77,000 to 222,000 in early 2021. Investment in NFT has advantages and disadvantages, and one of the challenges faced by investors is that they may not have enough knowledge about investing risks and may find it difficult to recognize and evaluate potential dangers. To address this problem, this study proposes a system that provides information on NFT collection sales rankings and volume sales forecasts. The simple additive weighting (SAW) method is used to determine the NFT collection rankings, and exponential smoothing is used to forecast sales volume. The Particle Swarm Optimization (PSO) method is applied to optimize the parameter alpha of the Exponential Smoothing method. With an accuracy rate of 80.38%, the combination of using the Single Exponential Smoothing method with PSO optimization can provide good predictions for future NFT sales. The proposed system aims to provide investors with accurate information to make informed decisions when investing in NFT. Keywords:  Forecasting system, pso, ranking system, saw, single exponential smoothing
Servant Leadership's Impact on Adaptive Performance in Indonesian Tech Companies: How Work Engagement and Trust in Leaders Play a Role Utami, Ayu Rizky; Ardiyanti, Niken
The Asian Journal of Technology Management (AJTM) Vol. 16 No. 2 (2023)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2023.16.2.3

Abstract

Abstract. Numerous technology-based companies have emerged in Indonesia due to the rapid growth of the technology sector over the last decades. Employees are required to be more adaptive to help the company succeed. Identifying which factors affect employees to adapt in a dynamic and competitive industry is essential. However, study related to adaptive performance affected by servant leadership among technology companies’ employees is still limited, particularly in Indonesia. Thus, this research is expected to contribute by providing new knowledge and literature for academics, especially in the field of human resources, as well as other areas related to employee performance, leadership, work engagement, and trust in leaders. Using the structural equation model with Lisrel 8.8 version, we provide the linkages on how work engagement and trust in leaders mediate the effect of servant leadership on adaptive performance of technology companies’ employees in Indonesia. The data (N=333) was collected from employees working in Indonesia’s technology sector such as financial technology, e-commerce, online transportation and food delivery, online travel, and so forth. Our findings showed that servant leadership has a significant and positive effect on adaptive performance through work engagement. However, trust in leaders does not have a positive mediating effect. Thus, it is important for management in the company to encourage the implementation of servant leadership and assess employees’ work engagement on a timely basis to boost employees’ adaptive performance. Keywords:  Adaptive performance, servant leadership, technology companies, trust in leader, work engagement
Tertiary Student Intention in Agricultural Sector Using Technology in Order to Maintain Food Security in West Java Ulfah, Halida; Furoidah, Ayu; Zuhair Aulia, Teuku Muhammad Zahid; Sulyani, Agnesia Candra; Larasati, Niken
The Asian Journal of Technology Management (AJTM) Vol. 16 No. 3 (2023)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2023.16.3.3

Abstract

Abstract. Food security is urgently needed in 2050. Facing current conditions, the agricultural industry in Indonesia no longer appeals to the younger generation, and many farmers are elderly; the challenge of limited land, human resources, and falling farmer regeneration is a global one. This study investigates the desire of tertiary students in West Java, Indonesia, to pursue a profession in agriculture. The study's goal is to identify the elements influencing tertiary students' intentions to contribute or pursue a profession in agriculture, the correlation between those factors, and the things that may boost tertiary students' desire in continuing their career in agriculture. The study will look at the effects of a student's income, land availability and ownership, the student's parents' background in a specific demographic, and the influence of contemporary agricultural technology and data. Using quantitative research design and ordinal logistic regression analysis method, the study found that the father's education, willingness lives in the village, and the data-driven agriculture variable influenced tertiary students' interest in the agricultural industry.  Keywords:  Agricultural sector, food security, intention, technology usage, tertiary students.
Evaluating ASEAN and EU Banking Sector Efficiency Using DEA (Data Envelopment Analysis) Putri, Jessica Amanda; Sudrajad, Oktofa Yudha; Kabir, Rezaul
The Asian Journal of Technology Management (AJTM) Vol. 16 No. 2 (2023)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2023.16.2.4

Abstract

Abstract. This study compares ASEAN and EU banking efficiency using Data Envelopment Analysis (DEA) and an intermediary approach. Three input variables (staff expense, fixed assets, total customer deposits) and two output variables (loans to customer and operating income other than interest) are analyzed using RStudio and R. EU and ASEAN banks had efficiency scores of 0.7 and 0.65, respectively, showing opportunity for improvement. Based on cost analyses, ASEAN banks are more efficient than their EU counterparts. Inefficiencies occur when output surpasses input or is much lower than another output variable. However, both regions may improve banking efficiency to do better. The 10-year trends exhibit oscillations, showing that regulatory issues affect banking efficiency. Stricter laws, higher capital requirements, and risk management changes may have hampered ASEAN credit. The dynamics and objectives of the EU and ASEAN economic blocs shape their financial systems. ASEAN is working toward regulatory convergence, while the EU has integrated and harmonized more. To maintain a stable and efficient financial industry, the region's banks must adapt to changing economic landscapes, technological advances, and mounting challenges.  Keywords:  ASEAN, bank performance, data envelopment analysis, efficiency, EU