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Technology acceptance is a measure of that technology’s usefulness. Oil palm is one of the biggest contributors to Indonesia’s revenues, thus fueling its economy. Using remote sensing would allow a plantation to monitor and forecast its production and the amount of fertilizer used. This review aims to provide a policy recommendation in the form of a strategy to improve the added value of Indonesia’s oil palm and support the government in increasing oil palm production. This recommendation needs to be formulated by determining the users’ acceptance of remote sensing technology (state-owned plantations, private plantation companies and smallholder plantations).

This review’s methodology used sentiment analysis through text mining (bag of words model). The study’s primary data were from focus group discussions (FGDs), questionnaires, observations on participants, audio-visual documentation and focused discussions based on group category. The results of interviews and FGDs were transcribed into text and analyzed to 1) find words that can represent the content of the document; 2) classify and determine the frequency (word cloud); and finally 3) analyze the sentiment.

The result showed that private plantation companies and state-owned plantations had extremely high positive sentiments toward using remote sensing in their oil palm plantations, whereas smallholders had a 60% resistance. However, there is still a possibility for this technology’s adoption by smallholders, provided it is free and easily applied.

Basically, technology is applied to make work easier. However, not everyone is tech-savvy, especially the older generations. One dimension of technology acceptance is user/customer retention. New technology would not be immediately accepted, but there would be user perceptions about its uses and ease. At first, people might be reluctant to accept a new technology due to the perception that it is useless and difficult. Technology acceptance is the gauge of how useful technology is in making work easier compared to conventional ways.

Therefore, technology acceptance needs to be improved among smallholders by intensively socializing the policies, and through dissemination and dedication by academics and the government.

The social implications of using technology are reducing the workforce, but the company will be more profitable and efficient.

Remote sensing is one of the topics that people have not taken up in a large way, especially sentiment analysis. Acceptance of technology that utilizes remote sensing for plantations is very useful and efficient. In the end, company profits can be allocated more toward empowering the community and the environment.

The purpose of this study is to investigate through an empirical research the factors that would attract visitors to heritage and cultural sites as museums applied on the Grand Egyptian Museum (GEM). The paper aims to study the impact of the proposed attraction features learning/knowledge, museum facilities, fun/entertainment and socializing and accessibility/location on pre-visit destination image.

The author started by a thorough literature review to arrive to the suggested conceptual model, which is tested by adopting a quantitative approach where data were collected using a self-administered questionnaire from a convenient sample of 300 respondents with 90% response rate and used partial least squares – structure equation modelling using Smart PLS v.3.2.8.

The results show that three of the tested factors were accepted and one was rejected.

Management of GEM, which will be one of the biggest museums world-wide, can make use of the empirical results of this research to enhance their understanding of the factors that impact pre-visit destination image, and thus, most attract visitors to justify the budget set in this huge project and achieve highest visitation and revenue

This research deals with a new museum that has not opened its doors yet and will start functioning in late 2020, and thus, the pre-visit image of the museum is not based on previous experience of visitors but rather on secondary sources as messages sent to visitors based on attraction features, while most previous studies dealt with post-visit image of museums