Purpose: This study explores factors that influence consumer's purchase intention at three consumer-to-consumer (C2C) e-commerce companies in Indonesia. Originality/value: This study represents purchase intention in the consumer-to-consumer ecommerce by investigating three case study using technology acceptance model as a guiding theory.

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.

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Continuous Innovation (CI) has become one of the hot topics in innovation management field. However, studies focusing on the comprehensive and detailed explanation of CI concept are still limited. This paper aims to elaborate on CI concept using three fundamental questions: WHAT (what is the definition of CI and what are the determining factors?), WHY (why do companies need CI?), and HOW (how can companies develop CI?). The purpose of this paper is also to contribute in giving an understanding that is more exhaustive on CI definition, the importance of CI for companies, necessary elements in determining CI capability, and various strategies for CI development. From this literature study, a new and more comprehensive definition of CI was found, which categorized the reason why the companies need the CI and identified essential elements in determining CI capability. In addition, the mapping process produced a description of the proportion of CI development strategy as follows: technology-based (11%), People based (15%), organizational & system based (32%), strategic-based (11%), knowledge-based (22%) and collaborative & connectivity based (9%). It can be observed that current CI development strategies still focus on organizational, system based approach, and most of them (81%) rely on the internal resources of the company. Future perspectives, in this digital and internet era, which provides connectivity and the shift of the concept of, own economy to sharing economy; companies will have big potentials to work on innovation collaboratively. CI concept development should consider open innovations instead of today's "do-it-yourself" mentality (closed innovation).

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Purpose The purpose of this paper is to identify and screen continuous innovation capability enablers (CICEs) in Indonesia’s manufacturing sectors, develop a relationship among these enablers and determine their driving power and dependence power in the sector. Design/methodology/approach The initial CICEs identification process is based on a literature review, while a fuzzy Delphi method (FDM) was used for the screening process of CICEs. Total interpretive structural modelling (TISM) was used to develop contextual relationships among various CICEs. The results of the TISM are used as an input for the matrix of cross-impact multiplications applied to classification (MICMAC) to classify the driving power and dependence powers of the CICEs. Findings This paper selected 16 CICEs classified in seven dimensions. TISM results and MICMAC analysis show that leadership, as well as climate and culture, are enablers with the highest driving power and lowest dependence powers; followed by information technology. The results of this study indicate that efforts to continuously develop innovation capabilities in the Indonesian manufacturing industries are strongly influenced by their leadership capability, climate and culture, also information technology-related capability. Practical implications The framework assessed in this study provides business managers and policymakers to obtain a bigger picture in developing policies with evidence-based strategy and priority in regard to continuous innovation capability. Originality/value The results will be useful for business managers and policymakers to understand the relationship between CICEs and identify key CICEs in Indonesia’s manufacturing sectors, which were previously non-existent.