Article Per Year (5 Year)
p-Index From 2021 - 2026
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All Journal International Journal of Business and Management Technology in Society (IJBMTS)
Syarifa Hanoum
Department of Business Management, Institut Teknologi Sepuluh Nopember
Economics, Econometrics & Finance Social Sciences

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Strategic Planning in Digital Marketing: Bibliometric and Content Analysis Irene Kanina Ratih; Muhammad Saad Salahudin; Syarifa Hanoum; Jaroslaw Korpysa
International Journal of Business and Management Technology in Society Vol. 1 No. 1: June 2023
Publisher : Direktorat Riset dan Pengabdian Kepada Masyarakat, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j30254256.v1i1.781

Abstract

Purpose – This study is aimed to map the trend, conceptual structure, and characteristic of strategic planning in digital marketing research. Methodology – This study uses Performance Bibliometrics analysis and Science Mapping Techniques. Performance Bibliometrics is used to analyze basic information and Science Mapping Techniques are used to find differences in future studies. the PRISMA method was used to complete the analysis performed. Findings – the most prolific and influential journals, authors, countries, and research dominated by Spain, the United States, and the United Kingdom. In addition, four themes are found that are often used in this field of study, namely the "marketing" cluster, the "decision theory" cluster, the "strategic approach" cluster, and the "social media" cluster. Research limitations – This study only covers research published related to strategic planning in digital marketing, the data selected only use synta strategic, and the co-occurrence analysis was used to present the conceptual structure in this study. Practical implications – This research will help practitioners to understand the basis of job satisfaction in textile factory workers and contribute to the scientific community by providing thematic maps and recommendations for future research of this field of study.
The Effect of Training, Development, and Innovative Work Behaviour on Employee Performance in the Heavy Equipment Industry Aditya Dwi Septyanur; Jordan Michael Sukanda; Muhammad Zaenul Ihsan Majdi; Syarifa Hanoum; Ummi Naiemah Saraih
International Journal of Business and Management Technology in Society Vol. 1 No. 2: December 2023
Publisher : Direktorat Riset dan Pengabdian Kepada Masyarakat, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j30254256.v1i2.1863

Abstract

Abstract Purpose – The study aims to determine the impact of training, development, and innovative work behavior on employee performance in the heavy machinery industry. Methodology – This study employs an explanatory approach using a logistic regression model with data collected through questionnaires from 79 respondents working in a heavy machinery industry in Indonesia. The variables studied include training, development, and innovative work behavior as independent variables, and employee performance as the dependent variable. Findings – The results show that training and development have a significant positive effect on employee performance (p < 0.05), while innovative work behavior does not show a statistically significant impact (p > 0.05). The Nagelkerke R Square value indicates that 23.2% of the variance in employee performance can be explained by the model. Practical implications – From findings suggest that companies should focus on improving training and development programs to enhance employee performance. Meanwhile, efforts to foster innovative behavior may require a reevaluation of current strategies and organizational support mechanisms.
Co-Authors Aditya Dwi Septyanur Irene Kanina Ratih Jaroslaw Korpysa Jordan Michael Sukanda Muhammad Saad Salahudin Muhammad Zaenul Ihsan Majdi Ummi Naiemah Saraih