Transport Service Industry Research Articles

Mobile App Usability, Data Privacy, Brand Loyalty, and Customer Retention in Indonesia's Online Transportation Services Industry

This study investigates the relationship between mobile app usability, data privacy, brand loyalty, and customer retention in Indonesia's online transportation services industry. Using partial least squares structural equation modeling (PLS-SEM) to analyze data from a sample of users, the results show that both mobile app usability and data privacy significantly affect brand loyalty, which, in turn, strongly predicts customer retention. Additionally, usability and privacy have direct effects on retention. The mediation analysis highlights the role of brand loyalty in amplifying the impact of usability and privacy on retention. These findings offer practical insights for online transportation service providers seeking to improve customer experiences, loyalty, and retention.

Impact of Service Quality, Pricing Strategies, User Trust, and Technological Innovation in Indonesia's Online Transportation Services Industry

This study investigates the impact of service quality, pricing strategies, user trust, and technological innovation on customer satisfaction in Indonesia's online transportation services industry. Using a sample of 400 respondents, the research employs regression analysis to identify the relationships between these variables. The findings reveal that service quality is the most significant predictor of customer satisfaction, followed by user trust, pricing strategies, and technological innovation. The results highlight the interrelated nature of these factors, suggesting that improvements in one area can positively influence the others. The study underscores the importance of maintaining high service standards, establishing user trust, implementing effective pricing strategies, and leveraging technological advancements to enhance customer satisfaction. These insights provide valuable implications for practitioners aiming to optimize user experiences and foster loyalty in a competitive market.

PENGARUH E-SERVICE QUALITY, TERHADAP LOYALITAS PELANGGAN YANG DI MODERASI VARIABEL KEPUASAN PELANGGAN (Studi pada Pelanggan Jasa Transportasi Online Gojek di Kota Malang)

In the face of increasingly intense competition, Go-Jek needs to innovate in order to provide better services to its customers and attract new customers. One of the methods used is optimizing service delivery through the internet, known as e-service. E-service Quality is a new version of service quality (ServQual). This study aims to analyze whether customer satisfaction can moderate the relationship between E-service Quality and customer loyalty in the online transportation service industry of Gojek in Malang. The population of this study consists of all Gojek customers in Malang. The research sample was randomly selected using the accidental sampling method, with a total of 100 Gojek customers participating as respondents. Descriptive statistical analysis and path analysis using Partial Least Squares (PLS) were employed to analyze the data. The findings of this study indicate that customer satisfaction does not moderate the influence of E-service Quality on customer loyalty. This implies that there is no significant impact between E-service Quality and customer satisfaction on customer loyalty. Conversely, E-service Quality has a strong direct impact on customer loyalty without the moderation of customer satisfaction.

Mobilitas Berkelanjutan: Meningkatkan Minat Pembelian Ulang Melalui Kualitas Layanan Dan Promosi Yang Ditargetkan Pada Industri Bus

In this modern era, the industrial and business sectors are experiencing rapid development, including in the mass transportation services industry such as buses. This encourages business owners to compete in a very tight competitive environment. The approach used is quantitative with 100 samples, which are analyzed by the SEM method using the Smart-PLS version 4.0 tool. The testing used outer model testing, inner model testing, mediation testing, and hypothesis testing. The results of the validity test indicate that the loading factor value > 0.7 and the AVE value > 0.5 are valid. In the reliability test, the composite reliability value and Cronbach's alpha value > 0.7 are considered reliable. It can be concluded that service quality and promotion have a positive and significant influence on repurchase intention. Mediation testing shows that the quality of service variable on repurchase intention is mediated by purchase decision, which is stated as Partial mediation. The promotion variable on repurchase intention is mediated by purchase decision, which is stated as Partial mediation.

Prediksi Deret Waktu Manajemen Lalu Lintas

Optimizing customer service for the number of drivers in an area through real-time transportation service industry online to scale up. In this paper, the dataset used is traffic management accompanied by attributes such as level 6 geohash, day, timestamp, and demand. The dataset used is a sample from geohash6 coded qp0991, containing online transportation demands from 01/04/2018 until 31/05/2018 (61 days). The training datasets are from the qp0991 code sample, starting from 01/04/2018 until 10/05/2018 and the remaining datasets are used as the testing datasets. The percentages for training and testing are respectively 67% and 33%. The methods applied to construct the objective function are three different forecasting methods, namely the Naïve approach, auto-regressive integrated moving average (ARIMA), and simple exponential smoothing. The results of this study indicate that the simple exponential smoothing method is better than the naïve approach and auto-regressive integrated moving average based on the root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE). The simple exponential smoothing has an accuracy rate of 98.7% for the RMSE value, 98.9% for the MAE value, and 88.81% for the MAPE value.
 Keywords: time series, traffic management

Soar Analysis on Marketing Strategy Integrated Online Smart Parking System

Purpose: This research was conducted in transportation service industry of PT. Wastu Kencana in collaboration with UPN Veteran East Java through the Matching Fund program by Building an Integrated Online Smart Parking System (IOS-Park) Management Startup in 2022. Thus, this study needs to examine applying SOAR analysis to marketing strategies in this case study.
 Design/methodology/approach: The analysis method used in this study is a descriptive method with a qualitative approach, the data used is information about marketing strategies by interviews and observation
 Findings: The results showed that the management of this IOS Parking System start-up has many positive potentials that become strengths and business opportunities from internal and external.
 Practical implications: The results of this study are expected to be input and reference for the company in setting a selling strategy in the next sales period.
 Originality/value: This paper is original
 Paper type: a Research Paper

Comparing the impacts of carbon tax and carbon emission trading, which regulation is more effective?

While many literatures have examined the influence of environmental regulation policy, which environmental regulation policy is more effective is still controversial. Taking China and two different economic regions as samples, we explore the effect of two popular environmental regulation policies, that is carbon tax and carbon emission trading, by a multi-regional environmental dynamic computable general equilibrium model. The results show that for the economic development, the carbon emission trading outperforms the carbon tax for the carbon emission trading will generate the lower economic cost. But for the emission reductions, the carbon tax outperforms the carbon emission trading for the total emissions from 2020 to 2030 are smallest when introducing carbon tax policy. We further study the effect of environmental regulation on different industries. It is found that the environmental regulation has a more obvious effect on energy industry, heavy industry and transport service industry.

PENGARUH LEVERAGE DAN KEPEMILIKAN MANAJERIAL TERHADAP MANAJEMEN LABA

The Effect of Leverage and Managerial Ownership on Earnings Management (Empirical Study on Transportation Sub-Sector Service Industry Companies listed on the Indonesia Stock Exchange for the 2016-2019 period). This study aims to analyze the effect of leverage and managerial ownership on earnings management in the transportation sub-sector suit industry companies listed on the Indonesia Stock Exchange for the 2016-2019 period. This study uses a purpose sampling method. The analysis technique in this research is multiple linear regression analysis which is used to test the research hypothesis. The total population in this study were 45 transportation service industry companies listed on the Indonesia Stock Exchange for the 2016-2019 period. There are 15 companies that meet the sample criteria for 4 consecutive years. The type of data used is secondary data obtained from the Indonesia Stock Exchange (IDX). Based on the results of this study, it states that, partially (t test) the leverage variable has a significant effect on earnings management, managerial ownership variable does not have a significant effect on earnings management. Simultaneously (F test) the leverage and managerial ownership variables have a significant effect on earnings management.

Promoting Domestic Commerce for Sustainable Pro-poor Growth

To frame the issue, two characteristics of Pakistan should be noted. First, Pakistan has a very large market of 160 million people. For decades, this fact has been ignored in policy because of the focus on production and exports.1 Second, a large and growing population has now produced a huge youth bulge in the population which will work itself out for much of this century: 50 percent of the population is “under 20”.2 Progress of the spread of education has been slow, leaving this bulge largely unskilled, and hence with limited employment possibilities. Domestic commerce is the most pro-poor growth possibility in the country. Currently, it employs about 40 percent of the labour force and contributes about 52 percent to GDP. If it can be provided with an enabling environment, our estimates suggest that it could help increase the growth rate by at least 2 percentage points. In addition, a pick up of activity in this area would increase employment substantially. Following this agenda would need a huge increase in construction activity, strong development in hotelling, retail shop, transport, warehousing, storage, and other service industries. The employment impact of this would be far larger than through investment in any other sector.

Contributions of cleaner production and end-of-pipe treatment to NOx emissions and intensity reductions in China, 1997–2018

The Chinese experience of economic development and environmental protection provides an important reference for developing countries. Although changes in aggregate NOx emissions have been widely studied, there is a relative lack of studies analysing NOx intensity changes and their related development strategies in China. This study attempts to identify the socioeconomic drivers and change patterns for both NOx emissions and intensity considering the cleaner production and end-of-pipe treatments. Both structural decomposition analysis and structural path analysis were used to analyse the NOx emissions/intensity changes at different levels and transmission layers in China in the last two decades (1997–2018). The results indicate that construction contributes the most to NOx emissions/intensity, followed by transportation. The emission intensity effect is the primary driver of NOx emissions/intensity reduction, which mainly benefits from end-of-pipe treatment and energy efficiency improvement. Especially, during 2012–2018, they decreased 11,916 Kt-NOx and 8,103 Kt-NOx emissions and aggregate embodied intensity by 43.2% and 29.8%, respectively. The final demand effect is the primary deterrent, which is attributed to investment and consumption effects. The critical sectors for future NOx reduction are the construction and building materials industry, transportation and other services industry. The policy implications and recommendations for the future developments are discussed based on the study findings.

A Study on the Supply Chain Structure of Air Transport Service Industry

A Study on the Supply Chain Structure of Air Transport Service Industry

산업연관분석을 통한 물류산업의 경제적 효과에 대한 분석

The purpose of this study is to make econometric analysis on the economic effects of China’s logistics industry by using the China industry association table, and provide help for the promotion of China’s logistics industry policy in the future. For this reason, 17 industrial fields, including 5 fields of transportation equipment and 12 fields of transportation service industry, are classified as logistics industry in the 2020 industrial association table issued by the China Bureau of statistics in 2022, and the industrial association table of China’s logistics industry for all 28 industries is compiled and analyzed. The analysis results show that, first of all, the production inducement coefficient of China’s logistics industry is 2.7956, and the line cooperation coefficient is 4.6270, indicating that China’s logistics industry is a basic strategic industry supporting the development of national economy. Second, the influence coefficient (backward chain effect) of China’s logistics industry is 1.0466, and the sensitivity coefficient (forward chain effect) is 1.7322, both greater than 1. China’s logistics industry is an intermediate demand manufacturing industry. Third, the final demand of China’s logistics industry is 8382 billion yuan for input into the national economy. The total production induced amount is 626916.8 trillion yuan (38783.5 trillion yuan, 6.2%) and the value-added induced amount is 224227.75 billion yuan (13718.8 trillion yuan, 6.1%) respectively. The income induced amount is 11420.4 trillion yuan (691.34 billion yuan, 6.1%) respectively, The induced amount of production tax is 23469.2 billion yuan (1379.3 trillion yuan, 5.9%) in the logistics industry. Fourth, China’s logistics industry has a total of 30627 labor inducing effects, including 849 direct labor inducing personnel and 29778 indirect labor inducing personnel, showing its role as an employment creating industry.

Effect of High-Tech Manufacturing Co-Agglomeration and Producer Service Industry on Regional Innovation Efficiency

The study discusses the effect of co-agglomeration between the producer service industry and the high-tech manufacturing industry on regional innovation efficiency. Based on data from public companies of three urban agglomerations from 2011 to 2019, we used the Data Envelopment Approach (DEA)- Banker, Charnes, Cooper (BCC) model to estimate real innovation efficiency. Results found that the industrial co-agglomeration and regional innovation efficiency have an “inverted U-shaped” relationship. The industrial co-agglomeration in regions with a low level of co-agglomeration plays an important role in expediting regional innovation efficiency than that in high-level areas of co-agglomeration. Moreover, it is confirmed that the prefecture-level cities of the three urban agglomerations have low innovation efficiency types and low collaborative agglomeration types. Yangtze and Pearl river delta urban agglomeration can promote innovation efficiency through industrial co-agglomeration. While for the industrial co-agglomeration of Beijing, Tianjin, and Hebei, the urban agglomeration has not become the main way to promote innovation efficiency. The regression results of different industry collaborative agglomeration found that the co-agglomeration of information transmission, computer services, software industries, and the high-tech manufacturing industry plays a significant role to improve innovation efficiency. Moreover, the co-agglomeration of the transportation service industry and high-tech manufacturing industry plays a relatively weak role in regional innovation efficiency. Therefore, it is suggested to formulate more adaptive and heterogeneous market policies. The paper provides an important idea for improving innovation efficiency by optimizing industrial spatial layout.

A review of literature on service quality and customer satisfaction of public transport service industry

Gujarat State Road Transport Corporation provides public transport services. GSRTC has made a significant contribution to the development of Gujarat or India. GSRTC Transport Service provides a very useful service for the common person as well as for the students. The purpose of this study is to examine services of Gujarat State Road Transport Corporation in Gujarat. This study conducted by some sampling. This study taken factor affecting of services of Gujarat State Road Transport Corporation towards the passengers in Gujarat. This study has been done on how much satisfaction the passenger gets under the service of GSRTC. The study has taken samples from various depots in Saurashtra. What is the satisfaction of the passenger according to the service provided by GSRTC? It has been studied

Financial Distress dan Managemen Laba pada Industri Jasa Trasportasi di Masa COVID-19

This study detects financial distress and the existence of earnings management which is classified into accrual and real earnings management in the transportation service industry. The data analysis technique was carried out using Altman's financial distress analysis, followed by linear regression analysis with quantitative descriptive methods. Purposive sampling method was used and the research sample obtained was eight companies with a total of 48 observational data. The results showed that transportation companies at various levels of financial distress were proven to practice accrual earnings management. However, there are differences in the choice of accrual earnings management strategies at each level of distress. In companies that are in advanced distress level, accrual earnings management is carried out by means of income maximization and followed by the practice of big bath. Meanwhile, in extreme distress, the company decides to do income minimization.
 Keywords: Financial Distress; Accrual Earnings Management; Real Earnings Management.

Improving Customer Satisfaction through Trust in "Bandung Tour on Bus (Bandros)" by Taking Into Account The Contribution of Service Quality and Brand Image

The importance of trust in bridging the gap between service quality, brand image, and customer satisfaction is investigated in this study. Respondents to this study were tourists who used Bandros services. Questionnaires were distributed to travellers of Bandros users using purposive sample techniques with the final sample number of 300 respondents. The data was collected through questionnaires on Bandros bus passengers in Bandung, West Java, Indonesia. Smart PLS-SEM 3.2.9 is used to assess conceptual models. Although service quality and trust were essential elements in increasing customer satisfaction, the data showed that brand image was not. The quality of service and the brand image significantly influence building trust. Service quality, contentment, and brand image are all mediated through trust. This study provides new insights into how "Bandros" builds customer satisfaction. The model demonstrates how trust is crucial in mediating brand image and consumer satisfaction. In addition, research conducted in the tourist transportation service industry is believed to have unique characteristics compared to other sectors.

Analisis Komparatif Strategi Digital Marketing terhadap Keputusan Penggunaan Jasa Transportasi Online Gojek dan Grab di Kabupaten Karawang

The development of the transportation service industry is currently very fast. Especially in several big cities including Karawang district. Along with digital development, traditional transportation has become online transportation. Online transportation services that are currently very well known and often seen by the public are Gojek and Grab. This study aims to analyze digital marketing strategies on purchasing decisions in Karawang Regency. There are 100 respondents who use Gojek and Grab online transportation in Karawang Regency. This research uses quantitative methods. The analysis technique used is quantitative and descriptive analysis. In the verification analysis method used Simple Linear Regression analysis. The hypothesis sought is the partial effect or t-test and comparative t-test. In the test based on the research results it was found that there was a partial influence between digital marketing strategies on purchasing decisions. And based on the Comparative t-test research, there are differences between Go-Jek companies and Grab companies.

Does Airport Preferential Policy Aggravate the Competition of Aviation Hubs in Central and Western China? Based on the Investigation of 78 Airports

China’s regional economic competition is intensifying; in particular, the cluster development of air transport, high-end manufacturing, and modern service industries is closely related to the construction of regional airports. Local governments have listed aviation hubs as the hardcore advantage of high-quality growth in the new era, but it may also lead to excessive convergence and preferential system competition. Based on the “GDP competition” of local governments in China, this paper uses panel data of 78 airports in mainland China from 2001 to 2018 and tries to explore the causes of airport preferential policies. The Synthetic Control Method is used to study the influence of preferential policies on airport passenger and cargo flow, and then the Spatial Durbin Model is used to verify the spatial spillover effect of aviation hubs, which may be magnified by the preferential policies. This paper finds that the impact of preferential policies on airports in central and western China is mainly reflected in the increase of cargo throughput, and there is a spatial siphon effect on cargo throughput between airports. The implementation of the preferential policy enhances this spatial siphon effect, which in turn leads to more fierce competition. The research results show that the preferential policies, issued in central and western aviation economy, have shown a trend of evolving in the direction of vicious competition. Before the airport preferential system produces more negative effects, it should be corrected in time, and each aviation economic zone in the central and western regions should be scientifically coordinated and reasonably planned.

코로나19 발생 이후 감소된 외래관광객으로 인한 관광문화 및 전체 산업 손실 파급효과 분석

Since the outbreak of COVID-19, the domestic air transport as well as tourism and culture industries have suffered significant economic loss due to restrictions on movement between countries. This study investigates loss on production outputs in the domestic tourism/culture and related industries due to the decrease in inbound tourists caused by COVID-19, and analyzes pervasive effects on the entire industry. The amount of losses in the tourism/culture and related industries was estimated based on the per capita expenditure of inbound tourists and changes in the number of foreign tourists after the outbreak. Results show that loss in sales volume was significant in the order of the shopping, air transport, accommodation, and food service industry. Based on the results, scenarios were made by deriving estimated economic losses from 2020 to 2023 (4-year scenario period) in the nine tourism/cultural and related industries. The scenarios were incorporated in the input-output analysis to analyze ripple effects on the whole industry in terms of production, value-added, and employment. Final results indicate that the decline in sales of the tourism/cultural and related industry due to COVID-19 will result in a decrease of 94,071.7 billion KRW in industry output, a decrease of 39,064.8 billion KRW in value-added, and a decrease of 71,557 jobs over the 4-year scenario period. In the case of the culture/arts and entertainment industry, which is the industry of our main attention, would have a loss of 612.1 billion KRW over the four years. This will have a negative effect of 191.9 billion KRW to other industries. Contribution of this study lies in quantifying specific amount of damage caused by COVID-19 on the tourism and culture industry and related industries.

A Study on Industrial Structural Change and Economic Inducement Effect of Indian Transportation Service Industry

A Study on Industrial Structural Change and Economic Inducement Effect of Indian Transportation Service Industry