cover
Contact Name
Sri Yayu Ninglasari
Contact Email
sri.yayu@its.ac.id
Phone
+6285846213489
Journal Mail Official
ijbmts@its.ac.id
Editorial Address
Research Center Building Floor L Institut Teknologi Sepuluh Nopember East Java, 60111 Indonesia
Location
Kota surabaya,
Jawa timur
INDONESIA
International Journal of Business and Management Technology in Society (IJBMTS)
ISSN : -     EISSN : 30254256     DOI : -
Core Subject : Economy, Social,
The International Journal of Business and Management Technology in Society (IJBMTS) is a peer-reviewed, open-access journal that publishes original research articles, review articles, and case studies in the fields of business, management, and management of technology. The journal aims to provide a platform for scholars, practitioners, and policymakers to exchange ideas and share knowledge on how business and management of technology practices can contribute to the advancement of the society. The journal welcomes submissions from authors around the world and encourages interdisciplinary perspectives. Focus and Scope -Human Resource Management -Operations & Supply Chain Management -Accounting & Governance -Financial Management -International Business -Information Management -Management of Technology -Enterprise System -Innovation & Entrepreneurship -Social Entrepreneurship -Knowledge Management -Business Model & Development -Economics & Econometric -Strategic Management -Small Medium Enterprises -Marketing & Branding -Corporate social responsibility
Articles 10 Documents
Analysis of the Effect of Personal Characteristics and External Factors on Grit in Business Partners at PT Melia Sehat Sejahtera, East Java Branch Ananda, Davit Marcela; Handiwibowo, Gogor Arif; Baihaqi, Imam
International Journal of Business and Management Technology in Society Vol. 1 No. 1 (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.v1i1.780

Abstract

Purpose – This study aims to analyze and identify the influence of the role of Personal Characteristics and External Factors on Grit in business partners at PT Melia Sehat Sejahtera East Java branch. Methodology – This research is quantitative research with purposive sampling technique. Data collection was carried out onine via google form and offline through turnover and learning meetings with business partners of PT Melia Sehat Sejahtera branch of East Java as research respondents. A total of 112 data were successfully collected and processed using SmartPLS software using the PLS-SEM (Partial Least Square-Structural Equation Modeling) analysis method. Findings – The study's findings highlight the importance of identifying and nurturing grit in business partners to enhance their resilience and perseverance in facing challenges, thereby contributing to the company's long-term success and growth. Practical implications – This research is expected to have implications for the importance of supporting and strengthening personal characteristics and external factors that influence persistence (grit) in business partners at PT Melia Sehat Sejahtera, East Java Branch, to increase their resilience in facing business challenges and achieving sustainable success.
Strategic Planning in Digital Marketing: Bibliometric and Content Analysis Ratih, Irene Kanina; Salahudin, Muhammad Saad; Hanoum, Syarifa; Korpysa, Jaroslaw
International Journal of Business and Management Technology in Society Vol. 1 No. 1 (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.
Digital Transformation and Servitization: The Keys to Unlocking Business Success in the Digital Age Khasanah, Siskha Nur; Rofifah, Jihan; Safitri, Ika; Anshori, Mohamad Yusak
International Journal of Business and Management Technology in Society Vol. 1 No. 1 (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.v1i1.782

Abstract

Purpose – Emphasized that digital technology has a role in services across industries beyond manufacturing, including retail, banking, and the Internet of Things. Methodology – This study uses a combination of bibliometric analysis methodology and systematic literature review (SLR), to provide an inclusive view of the digital transformation that enable servitization in various industries. Findings – Organizations greatly profit when digital servitization plans are implemented successfully. First off, it increases revenue streams by expanding beyond just product sales as a source of money. Companies can tap into more income sources and attain better financial stability by providing complementary services and solutions. Second, by taking into account customers changing requirements and preferences, digital servitization raises customer happiness. Organizations may increase client loyalty, encourage repeat business, and build favorable brand perception by offering personalized and integrated services. Research limitations – The specific strategies, benefits, and disadvantages of digital servitization can vary depending on factors such as industry dynamics, company size, market conditions, and the successful execution of transformation initiatives. Organizations need to carefully assess their unique circumstances and tailor their digital servitization strategies accordingly to maximize the benefits and mitigate potential challenges. Practical implications – IoT, cloud computing, and data analytics are examples of digital technologies that businesses can adopt to optimize service delivery, boost operational effectiveness, and acquire insightful data on customer behavior. As a result, they are in a position to dominate their market and beat off rivals in the age of digital technology.
Mergers And Acquisitions in The Hightech Company: A Bibliometric Review and Future Research Directions Windoko, Sindhu Priyo; Ramadina, Atika Sanjani; Jauhari, Muhammad Haris; Mardjono, Enny Susilowati; Fauziah, Ulfah Nurul
International Journal of Business and Management Technology in Society Vol. 1 No. 1 (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.v1i1.783

Abstract

Purpose – This study is aimed to shows the research interest trend about mergers and acquisitions (M&A) in high-tech companies. Methodology – This research uses a combination of bibliometric analysis and content analysis. Bibliometric analysis is fundamentally concerned with the quantitative and statistical analysis of a set of connected documents using several bibliometric indicators that offer an overall summary of a research area. While, a structured SLR sticks to a strict scientific design based on clear, prespecified and reproducible methods. Findings – A technology company's growth options affect its likelihood of being acquired, and companies with high growth options tend to choose organic growth over acquisitions with other technology companies. M&A size has an “inverted U”-shaped relationship with post-acquisition innovation performance, and post-acquisition R&D investment can moderate the relationship. Increasing the level of post-acquisition R&D investment can increase technology uptake capacity and extend the positive effect interval of M&A measures on post-acquisition innovation performance. 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.
Application of the Risk Maturity Model (RMM) in Measuring Risk Management Maturity Levels: A Case Study of a Shipping Company Mazaya, Daffa Arsy; Sugihartanto, Mushonnifun Faiz; Taufik, Tatang Akhmad
International Journal of Business and Management Technology in Society Vol. 1 No. 1 (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.v1i1.801

Abstract

Purpose – This study aims to assess the current state of the risk management system in a shipping company, determine its maturity level, and provide strategic recommendations for its improvement. Methodology – The assessment employs the Risk Maturity Model (RMM), which evaluates risk management across seven key attributes.  These attributes are further broken down into 25 components and 71 competency drivers to provide a comprehensive measurement of maturity. Findings – The analysis reveals that the company’s risk management maturity score is 3.179, corresponding to the “Repeatable” level. This indicates that while some risk management practices are established and documented, they are not yet standardized or optimized across the organization. Notably, the maturity level falls short of the minimum threshold required by the Indonesian Ministry of State-Owned Enterprises (BUMN). Originality – This study offers a focused evaluation of risk management maturity in the shipping sector using a structured model. The findings contribute practical insights and targeted recommendations to support the advancement of risk management practices within the industry.
Bibliometric Analysis: Green Human Resources Impact on Performance Management Putra, Yudho Novandhika; Fikri, Muhammad Andriyan; Laylatul Inaya
International Journal of Business and Management Technology in Society Vol. 1 No. 2 (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.v1i2.997

Abstract

Abstract Purpose – This study aims to evaluate to scholarly performance of articles on Green Human Resource Management (GHRM) and analyze their impact, while also providing a scientific mapping of the literature concerning GHRM and its influence on organizational performance. Methodology – This study employed bibliometric analysis to map the intellectual landscape of GHRM and to assess the performance and impact of related scholarly publications. The bibliometric techniques applied include performance analysis and science mapping. Data for the analysis were sourced from the Scopus database. Findings – The analysis indicates a growing trend in GHRM related research publications between 2012 and 2023. The bibliometric findings indicate that GHRM positively contributes to sustainable and environmental performance, supports green supply chain management practices, and fosters pro-environmental employee behavior. Additionally, several studies underscore the positive impact of GHRM on both employee environmental attitude and overall organizational performance. Research Limitation – This study is limited by the scope of data available within the Scopus database. Furthermore, the analysis is constrained by its focus on selected scientific publications, potentially excluding other relevant sources of information. Practical Implications – HR professionals and policymakers should integrate these practices strategically and encourage collaboration across departments to meet stakeholder expectations and sustain competitiveness.
Artificial Intelligence (AI) Technology Trends in Human Resource Productivity: A Bibliometric and Content Analysis Zahril Maulana Jilham Al'ula; Astra Savero Qomara; Tyassatrio Kuncorowibowo; Syarifa Hanoum
International Journal of Business and Management Technology in Society Vol. 2 No. 2 (2024)
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.v2i2.1023

Abstract

Purpose – This research aims to show research trends in the field of AI implementation in the human resources realm and its relationship with human resource productivity Methodology – This research combines bibliometric analysis with content analysis methods. Bibliometric analysis is carried out by quantitative and statistical analysis of a set of data that is linked using bibliometric indicators that represent a set of topics that are the research area in this study. Then the findings from the bibliometric method are supported by content analysis from various studies in this research area, so that it can produce output with a clearer perspective. Findings – This research show that Artificial Intelligence (AI) can have significant effect on productivity in some case, but it must also be acknowledged that companies must also be wise in ensuring that the work to be adapted with the help of AI is appropriate, because the implementation of AI has not yet reached the point where all human work can be assisted or replaced by AI. Research Limitation – This research was conducted only through the findings on several previous research, articles, and the data obtained from Scopus only. Practical Implications – Based on the bibliometric analysis of recent trends in AI technology and its impact on human resource productivity, it is recommended that organizations invest in AI-based HR tools and systems to improve their productivity and efficiency. The study highlights the need for HR professionals to stay up to date with the latest AI trends and technologies to remain competitive in the job market.
The Influence of Foreign Ownership and Leverage on Firm Value with Financial Distress as an Intervening Variable B. Andini Nugrahaning Wdhi; Enny Susilowati Mardjono
International Journal of Business and Management Technology in Society Vol. 2 No. 1 (2024)
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.v2i1.1073

Abstract

Purpose – This research aims to analyse the effect of foreign ownership and leverage on firm value, with financial distress as an intervening variable, specifically in multinational food and beverage companies listed on the Indonesia Stock Exchange. Methodology – This research employs a quantitative approach using multiple regression analysis and path analysis. Data from 2018 to 2022 were analyzed, focusing on foreign ownership, leverage (measured by Debt-to-Equity Ratio), financial distress (using financial ratios), and firm value (measured by Price to Book Value). Findings – Financial distress can be used as an intervening variable between foreign ownership and firm value, where financial distress affects foreign ownership and financial distress also affects firm value. Financial distress cannot be used as an intervening factor between leverage and firm value, where financial distress affects firm value, but financial distress does not affect the leverage variable. Research limitations – This research is limited by its five-year observation period and focuses only on financial ratios within the multinational food and beverage sector in Indonesia. Future research could expand by including different sectors, longer timeframes, and a broader range of financial indicators. Practical implications – This research provides practical insights for investors and corporate managers, especially in multinational firms, regarding the importance of foreign ownership structures and financial health in enhancing firm value.
Optimizing Product Delivery through Two-Dimensional Time Warping Demand Allocation under Uncertainty Meilanitasari, Prita; Vanany, Iwan; Ma'ady, Mochamad Nizar Palefi; Isrofi, Nisa
International Journal of Business and Management Technology in Society Vol. 2 No. 2 (2024)
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.v2i2.1341

Abstract

Purpose – This study aims to optimize delivery operations by implementing a flexible clustering method to handle demand uncertainty and improve logistics efficiency. Methodology – This study develops a clustering algorithm using a two-dimensional time-warping approach to group demand points based on spatial proximity and demand characteristics. The methodology consists of three stages: 1) processing data on point distances, 2) clustering using two-dimensional time warping, and 3) validating through silhouette analysis. Findings – This study resulted in optimal and efficient demand clustering through location clustering with a Silhouette coefficient value of 0.7 or an accuracy and feasibility level of 70%. The algorithm also shows improved computational efficiency compared to traditional approaches, making it suitable for practical applications in uncertain and dynamic environments. Practical implications – This study holds significant importance for businesses in the logistics and retail sectors. Through demand clustering, businesses can effectively group customer demands and utilize this information to optimize inventory management and delivery solutions.
The Effect of Training, Development, and Innovative Work Behaviour on Employee Performance in the Heavy Equipment Industry Aditya Dwi Septyanur; Sukanda, Jordan Michael; Majdi, Muhammad Zaenul Ihsan; Hanoum, Syarifa; Saraih, Ummi Naiemah
International Journal of Business and Management Technology in Society Vol. 1 No. 2 (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.

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