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The Asian Journal of Technology Management (AJTM)
Published by Institut Teknologi Bandung
ISSN : -     EISSN : -     DOI : -
Core Subject : Science,
Decision Sciences, Operations Research & Management
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
Arjuna Subject : -
Articles 296 Documents
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Front-Matter AJTM Vol 14 No 3 2021 Haryanto, Supri
The Asian Journal of Technology Management (AJTM) Vol 14, No 3 (2021)
Publisher : School of Business and Management Institut Teknologi Bandung

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Abstract

Front-Matter AJTM Vol 14 No 3 2021
Does Large-scale Social Restriction Affect Firms' Financial Performance? Fikri, Muhamad; Noveria, Ana
The Asian Journal of Technology Management (AJTM) Vol 14, No 3 (2021)
Publisher : School of Business and Management Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2021.14.3.4

Abstract

Abstract. To prevent the spread of the COVID-19 pandemic, the government has had some large-scale social restrictions (LSSR). As a side effect, many firms experienced a decrease in their revenues, which will decrease their financial performance. This research seeks to investigate how the COVID-19 pandemic affects financial performance of companies listed in the Indonesian stock exchange. To analyze the effect of the COVID-19 pandemic, an ordinary least square (OLS) regression is employed with a dummy variable of the period before and after the pandemic started. Furthermore, to examine the causal effect of LSSR, this study uses the difference-in-difference method with a dummy variable whether the businesses could still operate during the LSSR. The results show that COVID-19 pandemic has a significant negative effect on firms’ financial performance represented by ROA. Secondly, by employing panel-data regression with difference-in-difference, it is found that the LSSR has an insignificant effect on firms’ performance in affected firms. From the results, this research can contribute to the literature to see the effect of the large-scale social restrictions on firms’ financial performance. This research also can be used as a consideration for the government in making future policies to prevent the spread of the COVID-19 pandemic.Keywords: COVID-19 pandemic, difference-in-difference, firms’ financial performance, large-scale social restrictions
Back-Matter AJTM Vol 14 No 3 2021 Haryanto, Supri
The Asian Journal of Technology Management (AJTM) Vol 14, No 3 (2021)
Publisher : School of Business and Management Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Back-Matter AJTM Vol 14 No 3 2021
Analyzing The Impact Of Job Stress, Job Insecurity, and Work Engagement On Job Performance During The COVID-19 Pandemic In The Aviation Industry
The Asian Journal of Technology Management (AJTM) Vol 15, No 1 (2022)
Publisher : School of Business and Management Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2022.15.1.1

Abstract

Abstract. The COVID-19 pandemic has devastated the global airline industry. In Indonesia alone, the industry suffered USD 8.225 billion loss in revenue and recorded a 50% drop in passenger demand in 2020 compared to the previous year. The low demand for air travel and no clear end to the pandemic has caused a double crisis, health and economic, affecting aviation industry employees on a personal level. This research aims to determine the impact of perceived COVID-19 pandemic concerns on job stress, work engagement, and job insecurity among aviation industry employees. It further explores the pandemic’s impact on job performance. Using structural equation modeling (SEM) based on partial least squares (PLS), the research examined the data of aviation industry employees who work for various companies, including airlines, airports, and the Maintenance Repair Organization (MRO) in Indonesia. The results of this research show that perceived pandemic concerns create another layer of job insecurity and job stress and negatively impact work engagement. Work engagement positively impacts job performance. Therefore, as a result, perceived pandemic concerns have an indirect positive impact on job performance. Keywords: Aviation Industry, COVID-19 Pandemic, Employment Uncertainty, Job Performance.
Understanding Customer Insights Through Big Data: Innovations in Brand Evaluation in the Automotive Industry
The Asian Journal of Technology Management (AJTM) Vol 15, No 1 (2022)
Publisher : School of Business and Management Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2022.15.1.4

Abstract

Abstract. Insights gained from social media platforms are pivotal for businesses to understand their products’ present position. While it is possible to use consulting services focusing on surveys about a product or brand, such methods may yield limited insights. By contrast, on social media, people frequently express their individual and unique feelings about products openly and informally. With this in mind, we aim to provide rigorous methodologies to enable businesses to gain significant insights on their brands and products in terms of representations on social media. This study employs conjoint analysis to lay the analytical groundwork for developing positive and negative sentiment frameworks to evaluate the brands of three prominent emerging automotive companies in Indonesia, anonymized as “HMI,” “YMI,” and “SMI.” We conducted a survey with a sample size of n=67 to analyze the phrasings of importance for our wording dictionary construction. A series of data processing operations were carried out, including the collection, capture, formatting, cleansing, and transformation of data. Our study’s findings indicate a distinct ranking of the most positively and negatively perceived companies among social media users. As a direct management-related implication, our proposed data analysis methods could assist the industry in applying the same rigor to evaluating companies’ products and brands directly from social media users’ perspective. Keywords:  Brand image, social media, data analytics, sentiment analysis, conjoint analysis
Patent Signals of IPO Performance: Evidence from High- and Low-Tech Industries in Japan
The Asian Journal of Technology Management (AJTM) Vol 15, No 1 (2022)
Publisher : School of Business and Management Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2022.15.1.2

Abstract

Abstract: Prior studies pointed to evidence that startups and venture capital (VC) companies tended to use different measures to provide signals to outsiders. This study adds to those previous insights by focusing on established firms’ patenting behaviors and their effect on the amount of money raised at the initial public offering (IPO). Since technology intensity may differ considerably between high and low-tech companies, our main interest in this paper lies on whether the significance of pre-IPO patenting activities as a predictor of IPO performance also varies between these two industry categories. Using cross-sectional data representing 308 Japanese industrial firms’ IPO commitments between 2000 and 2015, we find a robust positive correlation between patent applications and IPO performance. Contrary to the conventional wisdom proposing that high-tech firms with more patenting activities achieve better IPO performance, we show that the signaling power of patenting is stronger for the low-tech companies in our sample: While the high-tech firms do not seem to have significantly benefited from a patent signal, the low-tech firms seem to have attracted external investors more easily due to patenting at the IPO. Keywords:  Patent, signal, initial public offering (IPO), high-tech industries, low-tech industries
The Contribution of Perceived Value to the Intention to Purchase Electric Motorcycles
The Asian Journal of Technology Management (AJTM) Vol 15, No 1 (2022)
Publisher : School of Business and Management Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2022.15.1.5

Abstract

Abstract. Gasoline-fueled motorcycles predominate as private vehicles worldwide. The high number of motorized vehicles running on fossil fuels contributes to air pollution and hence to the destruction of the environment and of human health. This has given rise to alternative vehicles such as electric cars and motorcycles—a market which Indonesia, with its high market share of motorcycles, ought to understand better. Consumer behavior related to electric motorcycles ought to be investigated to boost adherence to this type of vehicle. This study aims to evaluate the intention of residents of Surakarta, an Indonesian city with a dynamic market, to purchase electric motorcycles. The two independent variables implemented are perceived value and age, and respondents number 184, selected through cluster sampling to represent Surakarta’s population. The study employs ordinal logistic regression, as the response variable at hand is ordinal. Results show that age and perceived value influenced the intention to purchase electric motorcycles in Surakarta. Especially based on our young and middle-aged respondents, we can conclude that as perceived value increased, so did the probability of the intention to buy an electric motorcycle.Keywords:  Electric motorcycle, electric vehicle, perceived value, intention to purchase, green transportation 
The Role of Managers in R&D Organizational Networks. Are They Knowledge Workers or Bureaucrats?
The Asian Journal of Technology Management (AJTM) Vol 15, No 1 (2022)
Publisher : School of Business and Management Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2022.15.1.6

Abstract

Abstract. In today’s competition-driven world, competitive advantage is the only way for an organization to survive. There are various ways to gain a competitive edge through the application of knowledge, technology, and science. Indonesian public research and development (R&D) faces numerous challenges, one of which is researchers’ low productivity in terms of international journal publications. To boost research productivity and performance, efforts must be made to streamline knowledge flows within public R&D institutions. Additionally, data from dynamic information flows in networks can be used to evaluate bureaucratic effectiveness and identify potential knowledge talents or actors within R&D organizations. The purpose of this study is to determine the role of managers at all levels in a public R&D organization in coordinating information flow through knowledge networks and bureaucratic relationships. The social network analysis (SNA) technique was used to map managers’ role in aligning knowledge flows in an Indonesian public R&D organization. Individuals were classified according to their type and centrality in the network, and network metrics such as “degree of centrality,” “eigenvector centrality,” and “clustering coefficient” were determined. It was found that the organization has some issues with knowledge flows and power distribution. The two distinct knowledge flow patterns, one for knowledge-seeking and the other for administrative knowledge, do not appear to be synchronized. The director of the R&D center is assumed to be less influential than the top manager in terms of knowledge and bureaucratic influence. At the managerial level, clique tendency is lower, while it is higher at the nonmanagerial level. Such centralization and cliques are dangerous because managing knowledge cannot be handled by a single person in a knowledge-intensive organization such as an R&D institution. Additionally, it was discovered that middle managers are critical for knowledge-seeking purposes, whereas administrative managers dominate the bureaucratic role. The research implications are dependent on deciphering the complexities of knowledge flows among employees and the variables that influence the knowledge-transfer process within an organization. This issue will exacerbate the problem by decreasing productivity and increasing reliance on a small number of people. Additional research is required to generalize the findings to other Indonesian R&D institutions.Keywords: Bureaucracy, knowledge management, social network analysis
Prospective Customer Preference Toward Service Robots: A Discrete Choice Model Approach
The Asian Journal of Technology Management (AJTM) Vol 15, No 1 (2022)
Publisher : School of Business and Management Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2022.15.1.3

Abstract

Abstract. One major technological development pertains to the service robot industry. In Indonesia, the development of robots is increasing. Telkom will begin to explore new opportunities with companion robots, which can respond to and chat with humans and move around.  Therefore, more analysis is needed based on market research and prospective user surveys. The present study aims to obtain information on the features of service robots significantly influencing customers’ desire to purchase them and on the types of service robots they are likely to choose. The discrete choice model method is used to understand and predict a decision from a discrete alternative, based on a set of choices constructed with the help of the Ngene software and the D-efficient design method. We processed questionnaire results using the Python-Biogeme software to look for significant attributes and their elasticity. The significant attributes of companion robots defined by T-test are basic robot look (3.86), battery life (5.45), robot price (9.16), walking-computer look (6.10), and robot weight (8.38). The suggested strategy, among the three types of companion robots, is to focus on the personal assistant robot with the highest T-test score while paying attention to the resources a company already has.Keywords:  Service Robot, Discrete Choice Model, Significant Attribute, Elasticity
Understanding behavioral intention to subscribe video-on-demand platform during COVID-19 pandemic: evidence from Indonesia
The Asian Journal of Technology Management (AJTM) Vol 15, No 2 (2022)
Publisher : School of Business and Management Institut Teknologi Bandung

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Abstract

Subscriber-based Video on Demand (SVoD) is currently growing business sector during the COVID-19 pandemic. Since the pandemic effect human mobilization, the Indonesian government strictly regulated visiting the cinema to press Covid-19 outbreak. Consequently, film providers and consumers adopt SVoD as an alternative digital platform. Nevertheless, Indonesian subscriptions are currently lagging behind other countries. In addition, a survey from Coalition Against Piracy in 2019 has discovered that 63 % of Indonesian consumers opt to access illegal streaming services instead of paying subscription fees to video streaming providers. This research empirically examines social influence, perceived risk, hedonic motivation, and utility value to influence behavioral intention to understand what factors influence paying subscriptions. The hypotheses proposed in our research model are tested on a sample of 291 Indonesian subscribers of SVoD platforms. The partial-least square modeling result shows that social influence, hedonic motivation, and utilitarian value can, directly and indirectly, influence behavioral intention. Contrary to research hypotheses, the perceived risk of adopting illegal streaming videos can only indirectly influence behavioral intention. Finally, it is noted that a combination of external and internal consumer motivation will impact subscriptions intention. 

Page 22 of 30 | Total Record : 296

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