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Measuring E-Commerce Customer Satisfaction and Loyalty in Jakarta Using E-SERVQUAL and IPA Case Study JD.ID Islam, Sri Susilawati; Redi, Anak Agung Ngurah Perwira; Lestari, Tika Endah; Prasetyo, Yogi Tri; Effendi, Nabila Salsabillah; Young, Michael Nayat
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 7 No. 1 (2025): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v7i1.506

Abstract

In order to improve customer satisfaction and loyalty to e-commerce, certain aspects of e-service quality need to be emphasized. To evaluate the collected data, the study employs SEM-PLS, and Importance Performance Map Analysis (IPA). The findings show that variables such as website reliability, security, compensation, responsiveness, personalization, and assurance significantly affect consumer satisfaction, which in turn has a positive influence on customer loyalty. According to the results of the IPA research, e-commerce must concentrate on security factors which have 0.086 importance to strengthen its security controls and increase customer loyalty and trust. Hence, to maintain high-priority variables, e-commerce should also maintain website design variables and customer satisfaction.
Mix method analysis for analyzing user behavior on logistic company mobile pocket software Persada, Satria Fadil; Afandi, Farid; Redi, Anak Agung Ngurah Perwira; Nadlifatin, Reny; Prasetyo, Yogi Tri; Kurniawan, Adji Candra
Jurnal Sistem dan Manajemen Industri Vol. 7 No. 1 (2023): June
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v7i1.5937

Abstract

The present study emphasizes mixed-method analysis, integrating the partial least square structural equation model (PLS-SEM) and customer journey for mobile pocket office improvement in logistic XYZ company. The extension of the unified theory of acceptance and use of technology (UTAUT 2) model by incorporating perceived risk (PR), personal innovativeness (PI), and trust (TR) variables are used. The sample for this study consisted of 243 res­pondents. Based on the results of the PLS-SEM analysis, two of the eleven tested hypotheses were determined to be rejected. In application usage, the proposed model effectively explained 85.7 per cent of the influence on beha­vioral intention (BI) and 72.1 per cent on use behavior (UB). The customer journey mapping (CJM) investigation's findings show that fluctuations in the use of mobile pocket office technology in the field are generally brought on by a lot of data entry, sluggish internet connections, and overworked field operations. The XYZ company may acquire sugges­tions and knowledge for developing further applications due to this inquiry.
EVA as an indicator of financial performance in Tech companies during the Covid-19 pandemic Kumalasari, Riesta Devi; Herdina, Ajeng Mira; Murniati, Murniati; Purnama, Priska Arindya; Prasetyo, Yogi Tri
Manajemen dan Bisnis Vol 22, No 2 (2023): September 2023
Publisher : Department of Management - Faculty of Business and Economics. Universitas Surabaya.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24123/jmb.v22i2.693

Abstract

During the Covid-19 pandemic, many technology companies recorded sales volume increases. It happened because the pandemic pushed everyone to utilise technology devices for daily activities. Therefore, it drives the sales of technology companies to improve. This research uses the EVA (Economic Value Added) indicator as a financial analysis tool to evaluate the financial performance of companies in the technology sector on the Indonesia Stock Exchange before and during the Covid-19 pandemic. This research uses technology companies' financial statements from January 2019 - December 2020 as secondary data. The research analysis is in the form of a descriptive analysis of EVA calculation. The findings revealed that two of the four selected technology companies have a positive EVA value, which indicates that the two companies have been able to provide added value from their operational activities even before the Covid-19 pandemic occurred in Indonesia. Meanwhile, another company generate a negative EVA, which suggests that the company's management has not been able to create added value for the company. The company's ability to maintain financial sustainability represented by EVA value is ultimately not only defined by certain situations, such as a pandemic, but also by its ability to formulate a capital structure strategy.