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Research

Technology ManagementTechnology Management

On the topic of research related to technology management, we carry out research on special themes such as smart factories in Indonesia "Making Indonesia 4.0" from the point of view of industry sector focus and strategic policy. The industrial sector consists of food & property, textile & clothing, automotive, chemical, and electrical that represents 65% of national exports and primary technologies to support industry 4.0 system establishment, namely Internet of Things, Artificial Intelligence, Human-Machine Interface, Robotic and sensor technology, and 3D printing (Kemenperin.go.id).

Business Model Innovation in Digital Startups
THEORETICAL SIGNIFICANCE
  • The previous studies indicated that BMI process and types of BMI in established firms. There were also BMI framework studies in digital startups and implementation of business models. It concluded that there were limited previous research of business model innovation conducted in digital startups.
 EMPIRICAL SIGNIFICANCE
  • Indonesia is the 5th player of digital startups in the world and the important player in ASEAN digitalization. However, for the first two years of digital startups existence, the need of business model innovation is significant.

Digital TransformationDigital Transformation

We focus on research on themes related to digitalization, business model innovation in digital startups, digital transformation: business implications & organizational challenges, and industry 4.0 implementation in Indonesia. Indonesia as the object of research is predicted that its digital economy is predicted to reach $130 billion by 2025, it's already at $40 billion this year – 49% growth in average per year. E-commerce and ride-hailing have become the main industry; as the digital payment dominating all the app-based services. The related growth is supported by endless investment. It includes funding for Indonesian unicorns, the value is at $4 billion in 2018 (dailysocial.id, 2019). Another important theme is smart city, big data, artificial intelligence and social media in Indonesia.

Digital Transformation: Business Implication & Organizational Challenge
THEORETICAL SIGNIFICANCE
  • To study different implications of Digital Transformation in terms of organizational and business aspect.
  • To study the challenges faced by established firms when implementing Digital Transformation
 EMPIRICAL SIGNIFICANCE
  • To study what cause different implications of Digital Transformation in established firms (e.g Blue Bird, Kompas, Matahari)
  • To study how Digital Transformation affect organizational and business aspect of established firms (e.g Blue Bird, Kompas, Matahari)
Industry 4.0 Implementation in Indonesia
THEORETICAL SIGNIFICANCE
  • Few were addressing technological development relating to industry 4.0, some examples were about technology transfer specifically for 3D printing (Flores Ituarte et al., 2018) and maintenance system (Koenig, Found, & Kumar, 2019). This research combines the studies on industry 4.0 and adopts that concept to be implemented in several industrial cases through action research. Moreover, this research will extend the academic literature on action research and propose a methodology that can be replicated to similar cases.
 EMPIRICAL SIGNIFICANCE
  • As one of the developing countries, Indonesia has its own “Making Indonesia 4.0” as the country’s roadmap to improve the prioritised industrial sectors and achieve Industry 4.0 capabilities. This research would like to address the problem through action research in order to gain a deeper understanding of the problem itself until finding a suitable solution. Practically, this research will narrow the gap between theory and practice as usually occurs in most research. The proposed action research method will give real impact and tailor the solution based on the needs and conditions of the selected industrial cases.

Technology Adoption and CommercialisationTechnology Adoption and Commercialisation

Technology adoption and commercialization which is the research topic of MoT Lab can be lowered into several themes such as Acceptance of Electric Vehicle in Indonesia: Case Study in Bandung, Green Radical Innovation Ecosystem in Developing Country: Case of Electric Vehicle Adoption in Indonesia, Effect of Knowledge Transfer in Technology Adoption on Innovation: The Case of E-Fishery, and Commercialization Models of University Research Products.

Acceptance of Electric Vehicle in Indonesia: Case Study in Bandung
THEORETICAL SIGNIFICANCE
  • The study provides attributes of transportation modes taken into account by commuters.
  • It also gives insights on the effect of conditions of attribute combinations to transportation mode preferences.
 EMPIRICAL SIGNIFICANCE
  • The study gives insights on how public electric vehicle is preferred among other transportation modes in Indonesia community.
  • The result of the study could act as means of consideration for policy and formulation of electric vehicle in Indonesia.
Green Radical Innovation Ecosystem in Developing Country: Case of Electric Vehicle Adoption in Indonesia
THEORETICAL SIGNIFICANCE
  • Most of the study on green/sustainable radical innovation was previously conducted in developed country
  • Those previous studies are however missing the aspects of collectivism culture effect as the emerging characteristic of Indonesia
  • The additional characteristic may yields into the novel theoretical framework of innovation ecosystem with the context of developing country in Asia.
 EMPIRICAL SIGNIFICANCE
  • Indonesia is currently facing the early adoption stage of Electric Vehicle (EV).
  • Further investigation on the whole picture of its actors and interaction, which embodied in the ecosystem, is required to prevent any “missing link” on its implementation later on.
Effect of Knowledge Transfer in Technology Adoption on Innovation: The Case of E-Fishery  
THEORETICAL SIGNIFICANCE
  • To provide insight in the way pre-adoption knowledge transfer contributes to innovation
  • To provide insight on how interaction with non-lead user affect innovation
 EMPIRICAL SIGNIFICANCE
  • To provide useful insight for business practitioner on the way to conduct knowledge transfer for technology laden product adoption to non-lead user
  • To provide insight for practitioner on how to cultivate innovation capabilities
Commercialization Models of University Research Products  
THEORETICAL SIGNIFICANCE
  • Study on university technology commercialization exists but it’s still scarce.
  • This study discovers the commercialization model of complex technological products resulted from university research
 EMPIRICAL SIGNIFICANCE
  • Many technological products resulted from university research are not successfully commercialized.