Business Process Research Articles

Factors that affecting firm performance mediated by digital transformation in Indonesia’s state-owned enterprises plantation and forestry industries

Digital transformation refers to the integration of digital technology into all areas of a business, fundamentally changing the way it operates and adding value to a firm's performance. This can involve adopting new technologies, reorganizing business processes, and creating a digital culture within the organization. One of the State-Owned Enterprises (SOE) in Indonesia, PT Perkebunan Nusantara III (Persero) with a focus on agriculture and main commodities, namely Palm Oil and Rubber, is carrying out a digital transformation initiative with the aim of improving firm performance. Along the way, the company faced many obstacles related to implementing digital transformation and the large investment costs incurred. This research aims to test the influence of Digital Transformation Leadership, IT Capability, Digital Mindset, Work Culture Change, Organizational Agility, Human Capital and IT Alignment with Business and test the influence of these variables on Firm Performance with Digital Transformation as a mediating variable. This research uses quantitative research methods by distributing online questionnaires via Google Form to 234 company employees who use Digital Farming, GIS and SCADA applications. Data was analyzed using the SEM-PLS analysis method with Smart-PLS Software version 3.3.9. The results of the research show that IT Capability, Work Culture Change, IT Alignment With Business have a positive effect on Digital Transformation. Apart from that, this research also shows the positive influence of Digital Transformation Leadership on Digital Transformation which is mediated by IT Capability and Digital Mindset on Digital Transformation which is mediated by Work Culture Change. Then, research also shows that Digital Transformation has a significant effect on Firm Performance. the research outcomes can serve as valuable insights for what factors influence firm performance mediated by digital transformation in the SOE plantation and forestry industry business cluster in Indonesia.

Optimalisasi Proses Bisnis Menggunakan Metode Business Process Analysis (BPA) pada PT. XYZ

PT XYZ is one of the strategic industries owned by BUMN that produces the main defense equipment for Indonesia's defense system, especially in the maritime sector. In practice, the process of utilizing and managing assets at PT XYZ is in the Asset & Infrastructure Optimization Department which has various operational steps for asset management starting from the asset mapping process to utilizing these assets. This research aims to analyze and optimize business processes in asset management in the Asset & Infrastructure Optimization Department. The research method used is observation and interviews with related parties as well as Business Process Modeling and Notation analysis. The purpose and objective is to provide recommendations in optimizing business processes and increasing efficiency in managing company assets. One of the problems identified was the slow signing and return of agreement letters which caused delays in issuing invoices and payments. Recommendations included creating standard operating procedures, implementing electronic-based contracts and invoices, and utilizing technology for document delivery and storage. Overall, this research aims to improve operational performance and maximize the contribution of PT XYZ's assets to revenue.

ТОВАРНА ПОЛІТИКА ПІДПРИЄМСТВА ЯК ОБ’ЄКТ МАРКЕТИНГОВОГО АНАЛІЗУ І ПЛАНУВАННЯ

Introduction. For the effective organization of marketing activities of the enterprise, it is important to rationally build a product policy, which is the basis for making marketing decisions related to the features of the product purchase and the mechanism of its promotion from the manufacturer to the end consumer. The purpose of the article is an in-depth study of the theoretical and methodological aspects of the analysis and planning of marketing product policy (PMP) by developing the structure of the enterprise's PMP strategic plan and building a product management model. Methods. Using the method of analysis and synthesis made it possible to propose an own approach to marketing planning of product policy. Results. The article provides a theoretical analysis of literary sources regarding the interpretation of the concept of PMP by various authors, the expediency of marketing analysis and product policy planning is substantiated. Based on the study of foreign experience, the structure of the enterprise's PMP strategic plan was developed. The relationship between the formation of the PMP «roadmap» and the need to check the maturity of the marketing product policy team, which is represented by such entities and processes as management, employees, PMP implementation tools, business processes and production organization, is presented. Conclusions. Improving MTP planning is one of the most important ways to increase the efficiency of the enterprise. It is important to carry out such marketing planning, which helps to substantiate the impact of the enterprise's general corporate strategy, business strategies on the product strategy.

AI AND MACHINE LEARNING IN BUSINESS PROCESS AUTOMATION: INNOVATING WAYS AI CAN ENHANCE OPERATIONAL EFFICIENCIES OR CUSTOMER EXPERIENCES IN U.S. ENTERPRISES

This study presents a comprehensive review of the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in enhancing business processes across various industries. By examining a total of 75 peer-reviewed articles, the review highlights key areas where AI and ML have demonstrated significant impact, including operational efficiency, customer engagement, and strategic decision-making. Findings indicate that AI-driven process optimizations, particularly through predictive maintenance and resource management, have led to substantial cost savings and improved productivity by minimizing downtime and enhancing workflow efficiencies. Additionally, AI’s ability to support personalized customer experiences—through recommendation systems, dynamic pricing, and chatbots—has proven instrumental in driving customer satisfaction, retention, and engagement, making it a critical tool in customer relationship management. Furthermore, the strategic adoption of AI and ML has enabled data-driven decision-making, allowing companies to respond more effectively to market changes and forecast business outcomes with greater accuracy. The study also explores the transition from Robotic Process Automation (RPA) to AI as a foundational step, illustrating how RPA provides a structured entry point for advanced AI applications, creating an automation-ready environment. However, challenges such as technical limitations, ethical concerns, and organizational resistance persist, underscoring the need for careful implementation strategies. Addressing these challenges will be vital for organizations aiming to maximize the benefits of AI-driven automation in an increasingly competitive digital landscape. This review underscores the significant potential of AI and ML in reshaping business models and emphasizes the importance of ongoing research and development in these fields to support sustainable and scalable innovations.

The Role of Industrial Design for the Sustainable Disaster Management in Türkiye

This article aims to discuss the contributions of the industrial design discipline to the development of new product and service systems for sustainable and effective disaster management in Turkey. For this reason, the article focuses on innovative process activities such as design and R&D carried out by the Turkish NGO-affiliated Shelter Systems Company, a major player in disaster response and one of the largest shelter system manufacturers in Europe. This research explores the roles of the industrial design discipline in innovation processes, as well as the organizational characteristics of the innovation activities carried out in the Shelter Systems Company. Within the scope of the case study, a business process analysis was conducted to understand the role of design in the creative process activities of the Shelter Systems Company and the natural workflow of the design processes. The research demonstrated that the Shelter Systems Company has recently shifted to income-generating activities that support social entrepreneurship, aiming to transform these efforts into social benefits. However, the main process activities of the Shelter Systems Company are primarily manufacturing orientated. Its industrial design capacity is limited, its inovation process is closed to external influences, and its horizontal collaborations for open information sharing with external organisations and stakeholders are restricted. Based on the findings, this research proposes strategies to make industrial design more effective in the innovative process activities of the Shelter Systems Company in disaster management.

Factors influencing the digital intelligence transformation of offshore wind power enterprise

China's offshore wind power industry is advancing toward a digital transformation, and its development is considered a crucial strategic pillar of China's energy structure transformation. Facing challenges such as high costs, technical difficulties, lack of industry standards, insufficient industrial economies of scale, and even ecological threats, China's offshore wind power industry in the new period urgently requires innovative paths for further development. Driven by policy guidance and market demand, many enterprises have embarked on digital upgrading by introducing digital technology into their business processes, thus achieving a more efficient and intelligent production management mode to enhance industry competitiveness. However, due to the inherent peculiarities of the offshore wind power industry, its implementation of digital technology faces certain technical difficulties and systemic risks. This study presents a case study of Mingyang Smart Energy and related organizations conducted using in-depth interviews, and focuses on the practical circumstances of China's offshore wind power industry undergoing digital transformation. This study also applies the grounded theory to analyze the driving factors and mechanisms of digital transformation and provides an in-depth discussion of the characteristics of different stages of the transformation, including digital technology function leap, management and platform construction, as well as digital operation and value creation. The study results can enrich the theoretical study of digital transformation and provide practical guidance for the offshore wind power industry to achieve intelligent, efficient, and sustainable development.

Socially responsible human resource management for sustainable performance in a moderated mediation mechanism

This study examines Socially Responsible Human Resource Management (SRHRM) for the common good through the connections between the psychological green climate (PGC) and employee green behavior (EGB). In doing so, it explores the influence of SRHRM and PGC on EGB and sustainable performance (SP) as well as the moderating effect of PGC on EGB for organizing sustainable dimensions of HRM for environmental common goods. Drawing on the notion of the common good, this study mobilizes the ability motivation opportunity theory to articulate the nexus of business ethics and the environment. This study is quantitative in nature, following the deducting reason approach. Data were collected from 307 manufacturing companies using a survey. To ensure robustness, structural equation modeling using the AMOS software was used to analyze the data. The study's results show that both SRHRM and PGC directly influence EGB, which proxies to affect the organizational SP precisely. However, the results also show that SRHRM has no significant direct repercussions on SP, and the analysis of the moderation effect revealed that PGC does not intervene in the relationship between SRHRM and EGB. This paper contributes to an interesting conjuncture of growing literature on the adoption and impact of SRHRM and SP, which we argue can become the epicenter of ethical business processes to ensure the common environmental good. This study shows that organizations can flourish sustainable behavioral aspects, values, norms, and practices in business processes and among employees by nurturing the tenets of SRHRM, PGC, and EGB, which will increase the organizational capacity to transform the environmental common good.

An assessment taxonomy for self-adaptation business process solutions

Self-adaptation of business processes has become the focus of several research studies aiming at avoiding a manual adaptation of processes at run-time, which is error-prone and time-consuming. In fact, several contributions addressing the self-adaptation of processes have been proposed in the literature, but none of them has comprehensively studied and analyzed the literature to assess the current state of progress in the self-adaptation of processes. To address this gap, we propose in this paper a comprehensive taxonomy that identifies a set of characteristics to serve as support for the comparative analysis of solutions addressing self-adaptation of processes. Our taxonomy includes 25 characteristics that address relevant questions regarding self-adaptation of processes. While creating our taxonomy, we built on existing literature and involved academic experts from different universities. These experts did not only validate our taxonomy regarding completeness and understandability, but also rectified and enriched it with their knowledge. Finally, we report the application of this taxonomy to evaluate some existing contributions on self-adaptation of processes.

Penerapan Metode Ward and Peppard dalam Analisis Infrastruktur TI pada Global Youth Action

Global Youth Action is a company engaged in youth empowerment with a focus on supporting the achievement of Sustainable Development Goals (SDGs) through the collaboration of various youth movements in Indonesia and internationally. However, the company still faces challenges in terms of infrastructure and information system (IS) applications that are not fully capable of supporting business processes optimally. One of the main obstacles is the limited human resources who have expertise in managing SI and information technology (IT) effectively. In preparing the SI strategic planning framework, this research uses the Ward and Peppard approach to analyze company needs. The analysis process includes mapping the company's internal and external environment through Value Chain Analysis and SWOT Analysis, as well as grouping the application portfolio using McFarlan Strategic Grid. The results of this research recommend the development of various applications such as the Global Youth Action Website application, SAP application, customer service information system, asset information system, and executive information system. These recommendations are expected to provide strategic direction for the global youth action company, as well as improve IT HR competencies and strengthen the application portfolio to support the sustainability of business processes at Global Youth Action.

Using Business Process Model and Notation 2.0 to Deploy Cobots in a Manufacturing System – Case Study

Using Business Process Model and Notation 2.0 to Deploy Cobots in a Manufacturing System – Case Study

Smart Contract Generation and Visualization for Construction Business Process Collaboration and Automation: Upgraded Workflow Engine

Smart Contract Generation and Visualization for Construction Business Process Collaboration and Automation: Upgraded Workflow Engine

Location-aware business process modeling and execution

Location-aware business process modeling and execution

Navigating IT Careers in the Age of AI : Human Skills in an Automated Future

This article investigates the current state of AI (Artificial Intelligence), its market, and the potential impacts of AI on future jobs. The AI revolution is not only transforming the labour market across the world but also augmenting business processes and procedures in various areas. We explore the evolving relationship between human workers and AI systems in IT by analysing current trends, industry reports, and expert predictions. Nature and Extent of jobs that are likely to be affected by Automation are also a part of the study. The article offers insights into the ever-changing nature of IT roles, identifies critical skills for future success, and presents recommendations for professionals seeking to thrive in an AI-augmented work environment.

Trends Affecting CRM Processes of Large Industry Companies

Abstract: Business processes in industrial companies are subject to constant change, which is why especially those companies must try to stay up to date in order to counteract the negative effects of these changes. The aim of this study was to research which developments, influencing factors and trends affect the Customer Relationship Management business processes of large industrial companies. With the help of a qualitatively oriented systematic literature research of practical studies 13 important influences were identified. The result shows that a strong customer centricity is developing in industrial companies, which will change future business processes and IT-supported business systems today and in the future. This study can serve as a starting point for further research in industrial companies that plan to modify or transform business processes.

Literature Review: Definition of Integrated Marketing Communication (IMC) in Indonesian Journals (2019-2022)

After 30 years of development, Integrated Marketing Communication (IMC) in Indonesia has been widely studied and published in scientific journals. From 2019 to 2022, 44 Indonesian scientific journals were identified through a Google search. This study aims to explore how IMC is defined in scientific journal articles from 2019-2022, considering the current context. The research employs a literature review method, using five definitions of IMC, which are then distilled into sixteen core ideas. The findings reveal that Indonesian scientific journals still adhere to two main definitional concepts: “IMC is comprehensive planning” and “IMC combines various communication elements.” The first concept suggests that IMC must be thoroughly planned, typically through its communication elements. The second concept emphasizes the combination of various communication elements. Additionally, the articles found that the communicated message is predominantly from the brand, although only partially. This indicates that IMC has expanded to include brand value. A few scientific journals have advanced further in defining IMC, though only in terms of managing various communication elements, without incorporating dialogue or database-driven development. Overall, this study reveals that the definition of IMC in 44 articles positions it as a strategic process in business and management, involving the planning, execution, and persuasion of brand communication programs. On the other hand, many definitions of IMC need to be considered as concepts, at the very least those drawn from IMC thought leaders, such as the five definitions used in this study.

Industrial Metaverse as a New Component of Digital Transformation: A Bibliometric Analysis

Abstract— The digital transformation process in businesses operates within the data and knowledge cycle. This cycle ensures that all functions and units of an business collaborate effectively to achieve maximum efficiency from technological advancements. Recently, industrial metaverse technology has emerged as a new catalyst in the digital transformation process. This technology integrates with various other technologies to generate a virtual work environment akin to the physical workspace. The objective of this study is to identify the technologies and processes that industrial metaverse technology collaborates with and to provide a vision for researchers and businesses interested in this field. To achieve this objective, a bibliometric analysis was conducted on studies indexed in the Web of Science (WoS) and Scopus databases using the keyword "industrial metaverse." The analysis included a total of 60 studies: 44 from the Scopus database and 16 from the WoS database. A comprehensive examination of these 60 studies was performed, with data compiled manually and analyzed using the Vosviewer application. The study concluded that industrial metaverse technology is associated with processes such as smart production, employee-technology collaboration, ensuring the functionality of the data and knowledge cycle infrastructure, employee training, and environmental sustainability. Additionally, technologies such as digital twins, blockchain, virtual reality (VR), augmented reality (AR), Industrial Internet of Things (IIOT), and artificial intelligence (AI) form the infrastructure of industrial metaverse technology. Keywords— Digital transformation, Industrial metaverse, knowledge management, technology and innovation management, Industry 5.0

Unlocking Sustainable Growth: The Role of Artificial Intelligence Adoption in Jordan Retail Sector, Moderated by Entrepreneurial Orientation

Although businesses are under pressure to consistently improve both their capacities and business processes, the artificial intelligence (AI) revolution is seen as an appealing company approach that has attracted attention. By offering improved company structures, the application of AI technology has the potential to significantly alter company procedures while also lessening the impact of outside catastrophes. Additionally, using AI can enhance the socioeconomic circumstances of a particular area and have a positive impact on the social worth and economic sustainability of businesses. Few studies have been conducted recently on the use of AI to support businesses at various stages of development and sustainability. In addition, there isn’t much research that shows that the retail sector can benefit from the use of various modern AI technologies. To bridge this gap, this investigation looks into the moderating effect of entrepreneurial orientation. A theoretical framework was established using the assistance of the resource-based view (RBV) and dynamic capability view (DCV) assumptions, in addition to a survey of the available literature. The PLS-SEM method was used in this paper and got 311 respondents from Amman, Jordon retail sector. The findings show that the industry needs to make strategies for social justice and economically favorable approaches that have a beneficial impact by adopting AI approaches. This paper also shows that EA has a moderate impact on performance connections within the industry.

THE INNOVATIVE IMPACT OF GENERATIVE ARTIFICIAL INTELLIGENCE ON DIGITAL BUSINESS TRANSFORMATION

In the context of intensifying competition and evolving market dynamics, the deployment of cutting-edge technologies has become not merely a discretionary choice, but an indispensable imperative for any enterprise aspiring to achieve successful growth. Generative artificial intelligence, with its substantial potential for automation, personalisation and optimisation of business processes, is emerging as a highly promising avenue of digital transformation. This study is dedicated to investigating approaches and delineating strategies for aligning generative artificial intelligence with the requirements of digital business transformation. The research examines the development of artificial intelligence, with a focus on symbolic artificial intelligence, machine learning, deep learning and generative artificial intelligence. In addition, it considers the impact of these developments on business processes. The article identifies the potential benefits and challenges associated with the adaptation of generative artificial intelligence to the needs of modern business, in the areas of marketing, sales and data analysis. The utilisation of diverse methodologies and techniques, including prompts, fine-tuning, and the incorporation of interactive guidance systems, can enhance the efficacy and precision of generative AI in a business setting, thereby facilitating optimal outcomes in a multitude of tasks. The authors put forth the proposition of employing generative artificial intelligence technology in conjunction with Retrieval-Augmented Generation, with the objective of enhancing the quality and relevance of responses to user queries. Additionally, they advocate for the utilisation of agents or orchestration tools to provide guidance to models. The successful implementation of generative artificial intelligence hinges on three key factors: the clear definition of objectives, the selection of suitable tools and technologies, and the assurance of managerial and staff support. The implementation of generative artificial intelligence will contribute to increased efficiency through the automation of routine tasks, enhanced competitiveness through personalisation and innovation, optimised cost structures that increase profitability, and expanded opportunities for research and development.

Effectiveness Of Article 42 Sentence (1) Uu No. 6 Of 2023 On The Creation Of Work Regarding The Implementation Of The Basis Of Legal Certainty In The Mortgage Agreement By The Banks With The Act Of Binding Agreement Of Sale And Purchase

PT Bank Tabungan Negara (Persero) Tbk (Bank BTN) is a State-Owned Enterprise (BUMN) which operates in the banking sector, committed to being a bank that serves and supports housing sector financing. The mission carried out by Bank BTN is to actively support the government in advancing the welfare of the Indonesian people through home ownership and realizing the life that millions of Indonesians dream of through providing decent homes. One type of credit that is still in demand and needed by the public is KPR (Home Ownership Credit). Bank BTN as a bank that focuses on housing financing certainly fully supports the One Million Houses Program launched by the government. It is proven that currently Bank BTN is a bank with market share The largest Home Ownership Credit (KPR) in Indonesia. In order to improve and optimize services to the community with the development of the KPR business and support Bank operations both in terms of business processes and maintaining document quality, there are conditions where it is not possible to make a Sale and Purchase Deed (AJB) so that a temporary binding agreement is needed, namely a Sale and Purchase Agreement ( PPJB). This research aims to determine the implementation of KPR agreements by Bank BTN with sale and purchase binding deeds (PPJB) according to Article 42 paragraph (1) of Law no. 6 of 2023 concerning Job Creation at Bank BTN Kediri. This type of research is empirical juridical legal research and the specifications in this research are descriptive. The source and type of data in this research is primary data obtained from field studies in the form of interviews with Bank BTN Kediri employees. And secondary data was obtained from literature studies related to the theory of legal certainty. The results of this research are that the implementation of the KPR agreement by Bank BTN with the PPJB deed based on Article 42 paragraph (1) of the Job Creation Law does not fully meet the requirements stipulated in Article 42 paragraph (2) of the Job Creation Law.

Improvizing West Java MSMEs Using Quality Service Gaps Model

This study aims to understand the challenges and opportunities for the development of Micro, Small and Medium Enterprises (MSMEs) in West Java. With a very large number, MSMEs in West Java have great potential to drive economic growth. However, various obstacles such as access to capital, information, and technology are still an obstacle. This research proposes the application of the Service Science framework to map the MSME ecosystem and identify opportunities for service innovation. Thus, it is expected to increase the competitiveness of MSMEs and make a greater contribution to the regional economy. This research reveals that MSMEs in West Java face significant constraints in terms of access to capital, information, and technology. Through in-depth interviews with 8 MSME owners, this research aims to understand in-depth the challenges and opportunities faced by micro, small and medium enterprises. Thematic analysis of the interview data identified a gap between the ideal conditions that MSMEs desire and the actual conditions they experience. Using the Service Quality Gap Model, this study created four action plans to improve MSMEs in West Java. By addressing the identified gaps and encouraging collaboration between MSMEs, government, academia and industry, the Sadulur platform can catalyze the sustainable growth and development of MSMEs in West Java. These gaps, which we refer to as 'customer gaps', are manifested in four main themes: 1) the potential for MSMEs to create innovative products more easily, 2) the need to develop a strong business foundation and build sustainable brand value, 3) the importance of improving business processes and management to increase efficiency, and 4) the need to build good relationships with external parties to expand networks and business opportunities. These findings form the basis for formulating an action plan to improve the quality of services provided to MSMEs.