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The Asian Journal of Technology Management (AJTM)
ISSN : -     EISSN : -     DOI : -
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 5 Documents
Search results for , issue "Vol. 16 No. 2 (2023)" : 5 Documents clear
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.
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
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

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