The term "Internet of Things" first appeared in publication paper since 2006, describing the paradigm of evolution concept that brought about by the presence of internet technology (Vermesan and Friess, 2015) which is very important in contemporary circumstances. This study conducted an in-depth analysis of the research material written on 26420 papers which focused on the published Internet of Things (IoT) research, starting from the firstly year IoT keyword appeared in 2006 until 2018. The selected paper is a combination of various disciplines and publications which are all indexed by Scopus wherein the article discusses IoT. IoT articles are classified using key attributes in sequence: the methodology used, general knowledge and applied concepts, and various general exploration topics. By using the Scientometrics method, this method will group the overall terms that appear frequently from the Scopus paper database according to keywords, titles, and abstracts. The resulting data is then studied to understand and distinguish trends that occur in the time span along with the general characteristics of the paper, in the mathematics visual scheme. All various issues that are considered in the paper's methodology selection, their studied and services innovations, and continuing discoveries on the characteristics, concepts, and processes applied to IoT success. Although it only involves scopus indexed paper, this study found a remarkable increase in the number of articles on IoT in each category of the paper. This study also reveals the direction of the regular discipline of knowledge. The use of the Scientometrics method makes the analysis able to focus on the movement of characteristics and IoT themes to researcher's direction that has not found at this time, as a comprehensive guide to further research and industry strategy that is more directed on concepts that support the 4th industrial revolution.

Purpose: This study explores factors that influence consumer’s purchase intention at three consumer-to-consumer (C2C) e-commerce companies in Indonesia.Design/methodology/approach: 5 Expert opinions are used to determine the indicators of each factor and the Structural Equation Modelling (SEM) method is used to analyze the empirical data of 400 respondents for each company.Findings: It is found different significant factors that influence customer’s purchase intention in each company. Trust and risk are found to be significantly effect purchase intention in Company A. Meanwhile, the other two companies, perceived usefulness proved to be significant in Company B and benefit significantly effect consumer purchase intention in Company C.Originality/value: This study represents purchase intention in the consumer-to-consumer e-commerce by investigating three case study using technology acceptance model as a guiding theory.

Small and Medium-sized Enterprises (SMEs) are key contributors to Indonesia’s economy. E-commerce can assist SMEs in gaining a competitive edge and is expected to be the largest contributor to the country’s digital economy by 2030. However, only 22% of SMEs in Indonesia have adopted E-commerce. Hence this study aims to investigate the criteria that influence E-commerce adoption by Indonesian retail SMEs and select the best strategy using the Decision-Makers, Technological, Organizational, and Environmental (DTOE) Framework and the Diffusion of Innovation (DOI) theory. This study aims to fill the research gap by examining the essential factors in E-commerce adoption by Indonesian SMEs in the retail industry and their key strategy to increase utilization. The influence and priorities between criteria were calculated using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) based Analytic Network Process (ANP) method. Furthermore, an E-commerce adoption strategy was selected using Complex Proportional Assessment (COPRAS) method. This research showed critical criteria for adopting E-commerce technology in retail SMEs, Decision Maker’s IT Knowledge, Innovativeness, and Complexity. In addition, developing or training Information Technology (IT) and E-commerce skills were identified as the best strategy to increase E-commerce adoption. This study can help raise the understanding of policymakers, E-commerce service providers, and retail SME decision-makers on influencing criteria in adopting the best strategy to be applied to increase this technology adoption.

One way to increase university competitiveness is through information system management. A literature review was done to find information system factors that affect university performance in Quacquarelli Symonds (QS) University Ranking: Asia evaluation. Information system factors were then eliminated using Delphi method through consensus of 7 experts. Result from Delphi method was used as measured variables in PLS-SEM. Estimation with PLS-SEM method through 72 respondents shows that the latent variable academic reputation and citation per paper have significant correlation to university competitiveness. In University of Indonesia (UI) the priority to increase university competitiveness as follow: (i) network building in international conference, (ii) availability of research data to public, (iii) international conference information, (iv) information on achievements and accreditations of each major, (v) ease of employment for alumni.

The telecommunications service provider (TSP) strategy for collaborating with the industry that utilizes the Internet of Things (IoT) is an excellent opportunity to overcome digital disruption. TSP serves only human-type customers, thus constructing new business processes for the IoT, a non-human customer base, is a challenge to be addressed. Some large companies that are transforming business processes face difficulties in using the strategic framework for reasons such as ineffective management of organizational change, internal resistance, technical issues, and conflicts between frameworks and business needs. The enterprise architecture (EA) is a comprehensive strategic framework that involves company analysis, design, and solution implementation. This study examines transformation project implementation based on the EA model as a prototype, from business strategy to practice, using the concept of three intersections among project management, strategic management, and business processes. Thus, the aims of this study are to develop a method for implementing a telecommunications cross-industry collaboration project with an IoT-based company, and heuristic implementation of the method as a research initiative in producing an EA model as a project prototype. The development of the proposed methodology requires the dynamic systems development method (DSDM) as the agile foundation, including pre-project, feasibility, business study, functional model, design and build, and implement. The implementation phase proposes a transformation strategy that addresses company elements: 22 at business layer, 6 at application layer, 4 at technology layer, and 15 relationships, to be executed by the company in order to increase the company's competitive value.