New Business Segmentation for Haulage Industry in Malaysia

The haulage industry has the biggest fleets as compared to the others road trucking operators in Malaysia. The history of haulage industry started in 1971 until 2004 with five operators and in 2019 and above was recorded to 220 operators in the market. It was demonstrated with the open market which the growth of total fleet from 2,131 prime movers and 10,701 trailers before 2004 and more than 4,500 over prime movers and 31,500 over trailers in 2018 (AMH, 2018). The total number of prime movers and trailers had increased to 111% to overall fleets’ capacity. Haulage market which relate to container throughputs form 2009 - 2019 (ten-year) recorded at 16 million tues to 25 million teus in 2019 (UNCTAD 2019) which increased only by 65%. It was calculated on the surplus by 46 % of holding of prime movers in haulage industry at present. Apparently the market of haulage industry has stagnant and invite further sluggishness on haulage movements. The haulage operators had initiated to downsizing on the fleets due to unstable market and difficulty to sustain in their business. Therefore, the research suggests on appropriate ways to improve on the present condition and making more competitiveness of haulage industry. This research will investigate into three (3) segmentations such as reduction number of fleets, improvement on present activities and changing on other types of trucking businesses. The key respondents of the survey were the haulage operators, customers, government agency and other stakeholders. The survey was conducted among 200 respondents and at the end only 170 answers were accepted. The research uses SPSS version 25 and PLS-SEM to analyze from the collected data. The finding of the research has suggested that the three segmentations are the most appropriate ways to improve the present condition in haulage industry.

Classification of E-Service in Indonesia

E-service consists of various actors. Today, there is a wide range of actors involved. Public, private, and government connected in such complex way to create the e-service world we know today. However, the broad and complexity of the environment raises challenges for policy makers and regulators, such as tax. Until now, there is no tax regulation that specifically regulates trading activities using information technology, also known as an e-service. It operates globally without physical boundaries of a nation. However, rules can be different among nations. The initial step to make these rules is the classification of types of services using information technology, based on the business actors involved. Lack of classification raises problems, such as overlapping business segmentation, which may lead to inaccurate classification of the treatment. That is why a complete classification of e-service is needed. This study proposes a classification of e-service based on provider of the service, origin of goods and service, and the destination of goods and services in Indonesia. Research data obtained through literature studies and surveys of information technology-based service provider sites. We propose 27 categories of e-business classification, which can be used further, such as to cluster business and as a basis for regulation.

MANAGEMENT STRATEGY AND BUSINESS MODELS IN THE ERA OF DIGITAL TRANSFORMATION

In complicated and fast-moving markets, where growth and wealth creation can occur unpredictability reigns. The ways in which value is created, captured, and offered are changing profoundly, and one of those responsible for this change is digital transformation. New innovative business models are born, and it becomes necessary to rethink the models when it comes to the digital age. The objective of this work is to conceptualize the strategic changes in the business models of the companies to remain competitive of the era of the digital transformation. In order to collect the information necessary for the analysis, we chose to use exploratory research of a qualitative nature. It is justified to adopt the exploratory research, since there are few studies focused on the theme of business model strategy in the era of digital transformation. In our research, the companies interviewed highlight the digital transformation to improve and integrate with more automation all the lines of business segmentation.