Forthcoming Articles

International Journal of Business Process Integration and Management

International Journal of Business Process Integration and Management (IJBPIM)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Business Process Integration and Management (11 papers in press)

Regular Issues

  • BUSINESS PROCESS MANAGEMENT IN IMPLEMENTATION ORDERING MANAGEMENT SYSTEM IN SUPPLY CHAIN COMPANY   Order a copy of this article
    by Roy Pisela, Nilo Legowo 
    Abstract: Supply chains are highly complex business process and interconnected structures essential to the success of any company. Quick service restaurants in particular need optimal supply chain performance to ensure they have the right amount of food products and other supplies to support a new product launch, deliver on a promotion or simply provide a great customer experience. The supply chain plays a major role in modern enterprises to gain a competitive advantage in today's business environment. Since the elements of supply chain have been typically separate and independent entities, the main objective of supply chain management is to develop a mechanism to prioritise goals and to coordinate activities for optimal implementation of system. Information is the most significant element of coordination. Information technology can be used to help implement the participation of supply chain elements in the supply chain system. These critical business challenges are driving the need to focus on creating strong business process management in supply chain solution through implementation ordering management system information.
    Keywords: supply chain; quick service restaurant; ordering management system; business process management; business process.

  • Challenges faced by SMEs in Indonesia: the importance of collaborative networks and innovation   Order a copy of this article
    by Dekeng Setyo Budiarto, Eca Fitri Anna, Aprilia Wahyuni 
    Abstract: The role of Small and Medium Enterprises (SMEs) in driving economic growth in developing countries is highly significant, given that the majority of businesses operate in this sector. The strategic role of SMEs causes challenges. Hence, there is a need to endure, compete, and maintain stable performance. Therefore, this study aimed to examine the effect of collaborative networks on innovation development, with the intention of enhancing market performance and sustainability. Questionnaires were administered to 180 SME owners engaged in e-commerce using a quantitative approach. Consequently, the scope of previous explorations was expanded to include SMEs across Indonesia. The results showed that innovation played a strategic role in enhancing sustainability and significantly affected market performance. In addition, the study provided empirically grounded insights into the extent of market performance achievable by SMEs and the degree to which they can innovate by examining the effects of collaborative networks.
    Keywords: collaborative networks; innovation; market performance; sustainability; small and medium enterprises; SMEs; Indonesia.
    DOI: 10.1504/IJBPIM.2026.10077217
     
  • The impact of business processes in new media enterprises on youth university students social identity: an empirical study   Order a copy of this article
    by Tianjing Gao, Xiaomin Hu, Saikal Zhunushova, Cholpon Saadanbekova, Peng Peng Xie 
    Abstract: This study investigates how new media enterprises full-link business processes content planning and production, intelligent algorithm distribution, interactive feedback, content iteration influence Chinese college students social identity, including identity recognition, cultural recognition, political recognition and value recognition. Using survey data from 2771 participants, it tests 15 hypotheses via descriptive statistics, correlation, regression and ANOVA. Results show dimensional specificity: high-quality content and precise algorithms boost social hotspot engagements positive effect on identity recognition, while topic participation risks cultural and value recognition. Media use quality outweighs quantity, with gender and family residence moderating the relationship. The research enriches new media business process integration studies and offers empirical support for media ecology optimisation and youth identity cultivation.
    Keywords: new media business processes; business process integration; youth; social identity; media usage behaviour.
    DOI: 10.1504/IJBPIM.2026.10078030
     
  • High-performance work systems and employee well-being: a moderated model of union involvement   Order a copy of this article
    by Senthil K. Nathan, Sumathi Ananchaperumalpillai, Tharun S. Raaghav 
    Abstract: Employee well-being is proposed as a crucial factor that might aid in explaining the connection between HRM and performance as part of the expanding field of employee-centred HRM research. Enhancing employee well-being is a crucial decision that businesses must make to increase competitive benefits and corporate success. This study aims to investigate how high-performance work systems (HPWS) affect employees well-being (EWB) within an organisation. The study looks at how union involvement affects HPWSs and employees well-being. A total of 452 respondents completed an online survey that was sent to 600 employees in unionised organisations in the manufacturing and service industries. Using the structural equation modelling (SEM) approach, the hypotheses are evaluated. The study results indicate that HPWS has a noteworthy positive influence on EWB, enhancing job design, training and development, and employment security. Union involvement positively moderates the association between HPWS and EWB. The results of the investigation display that this research adds to the body of current knowledge in HPWS by developing a sound empirical inquiry. Additionally, the study offers a fresh viewpoint on how to enhance employee well-being in organisations.
    Keywords: high-performance work systems; employee well-being; EWB; union involvement; human resource management; HRM; manufacturing and service sectors; structural equation modelling; SEM.
    DOI: 10.1504/IJBPIM.2026.10078076
     
  • When intrusiveness does not deter: its positive mediating role in AI-driven cross-channel personalisation   Order a copy of this article
    by Ignatious Narsis, K. Sumathi 
    Abstract: This study investigates the dual impact of AI-enabled personalisation (AIP) on purchase intention, examining the mediating roles of perceived value and intrusiveness within the personalisation-privacy paradox. Data were collected from 498 cross-channel shoppers in Tiruchy City, India, and hypotheses were tested using PROCESS macro mediation analysis with 5,000 bootstrap samples. Results confirm AIP enhances both value and intrusiveness, validating its dual-edged nature. While perceived value positively mediates the AIP-purchase intention relationship, perceived intrusiveness unexpectedly shows a significant positive indirect effect, contradicting conventional assumptions. The direct effect of AIP becomes non-significant when mediators are included, indicating full mediation. This suggests utilitarian benefits may overshadow privacy concerns for this demographic. The study extends the personalisation privacy paradox literature to Tier-2 urban India, revealing context-dependent consumer responses. For marketers, prioritising value-driven personalisation alongside transparent data practices can effectively leverage AIP while maintaining consumer trust and driving purchase intentions.
    Keywords: AI-enabled personalisation; AIP; cross-channel marketing; personalisation-privacy paradox; perceived value; PV; perceived intrusiveness; PI; purchase intention; emerging markets.
    DOI: 10.1504/IJBPIM.2026.10078379
     
  • Determinants of MSME growth: personal, social and digital dimensions   Order a copy of this article
    by Imas Soemaryani, Hilmiana Hilmiana, Meinanda Kurniawan, Dara Sagita Triski 
    Abstract: The MSME sector plays a vital role in local economic development, particularly in Garut Regency, West Java. Despite its contribution to employment and income distribution, challenges remain in enhancing MSME growth and sustainability. This study examines the effects of individual factors, social relationships, and social media utilisation on MSME growth in Garut. A mixed-methods approach was employed, involving quantitative data from 141 MSME owners analysed using PLS-SEM, complemented by qualitative insights from focus group discussions and in-depth interviews. The results indicate that all three factors have positive and significant impacts on MSME growth, collectively explaining 44% of the variance (R2 = 0.44). Among them, social media utilisation demonstrates the strongest influence, highlighting its role in expanding market reach and addressing geographical constraints. These findings emphasise the importance of enhancing personal capacity, social capital, and digital capabilities, and suggest the need for targeted government support through training, networking, and capacity-building programs.
    Keywords: MSMEs; MSME growth; individual factors; social relations; social media.
    DOI: 10.1504/IJBPIM.2026.10078380
     
  • Cultural determinants of entrepreneurial decisions in ethnic minority youth: evidence from Lao Cai Province, Vietnam   Order a copy of this article
    by Vu Quynh Nam, Hang Nguyen Thi 
    Abstract: This study investigates the cultural and social determinants shaping entrepreneurial decision-making among ethnic minority youth in Lao Cai Province, Vietnam. Grounded primarily in the theory of planned behaviour and embeddedness theory, with other perspectives serving as complementary references, the study draws on survey data collected from 350 young individuals and employs reliability tests, exploratory factor analysis, and binary logistic regression for empirical analysis. The findings reveal that social norms, cultural values, and social networks play a significant role in fostering entrepreneurial engagement, while family support and risk perception also exert statistically significant influences. In contrast, indigenous cultural constraints demonstrate a weaker but still discernible effect on entrepreneurial decisions. By offering empirical evidence from a relatively underexplored ethnic minority context, this study contributes to the contextual refinement of established entrepreneurship theories and provides actionable insights for the design of culturally sensitive, community-based entrepreneurship support programs in emerging economies. The findings primarily reflect male entrepreneurial behaviour due to sample composition.
    Keywords: entrepreneurship; cultural determinants; ethnic minority youth; Lao Cai; Vietnam.
    DOI: 10.1504/IJBPIM.2026.10078885
     
  • Digital transformation of a third-party reverse supply chain sorting centre using robotic process automation   Order a copy of this article
    by Kiran K. John, S. Hrushikesh, R. Jeyapaul 
    Abstract: Robotic Process Automation (RPA) is a promising technology to handle repetitious and tedious tasks encountered in various business processes. In case of 3rd party reverse supply chain sorting centres, the invoice processing of the returned products involves various monotonous tasks which require a lot of repeated attention. RPA workflows can be developed to support the end-to-end invoice processing, and the sorting centre staff can utilize the saved time for performing more value creating tasks. Two distinct approaches for the data extraction were considered as part of the workflow: (1) the coordinate-based OCR (Optical Character Recognition) action available in the considered RPA package, and (2) the interactions with a popular locally run open-source LLM (Large Language Model). The presented work aims to highlight the considerable savings in processing time by the RPA deployment, and the potential aspects of the coordinated usage of open-source LLMs for tasks like data extraction.
    Keywords: robotic process automation; reverse supply chain; sorting centre.
    DOI: 10.1504/IJBPIM.2026.10079098
     
  • Agentic AI in sports media: a systematic literature review and framework for enterprise digital transformation   Order a copy of this article
    by Mengyu Dai, Shahrul Nazmi Sannusi, Mohd Azul Mohamad Salleh 
    Abstract: The rapid advancement of artificial intelligence (AI) technologies has fundamentally transformed the sports media industry, enabling automated content production, personalized distribution, and data-driven journalism. Recently, the emergence of agentic AI, characterized by autonomous task planning, multi-agent collaboration, and tool usage capability, has opened new frontiers for sports media applications. This paper presents a systematic literature review of AI technologies in sports media, with a particular focus on agentic AI and its implications for enterprise digital transformation. Following the PRISMA approach, we analyze publications from major academic databases spanning 2017-2026, with emphasis on recent research from 2021-2025. Our review reveals that while traditional AI technologies such as natural language processing, computer vision, and recommender systems have been extensively studied, research on agentic AI in sports media remains limited but rapidly emerging. We propose an integrated conceptual framework that maps AI technologies to sports media applications and their enterprise transformation outcomes.
    Keywords: agentic AI; sports media; digital transformation; multi-agent systems; systematic review.
    DOI: 10.1504/IJBPIM.2026.10079689
     
  • From clicks to connections: the mediating role of emotional engagement on the relationship between behavioural engagement and customer relationship equity   Order a copy of this article
    by Saurabh Verma, Tulika Saxena, Pushpendra Mourya, Sunil Kumar, Ashok Kumar, Lolita Lal 
    Abstract: This paper explores the mediating role of emotional engagement in the relationship existing between behavioural engagement and customer relationship equity (CRE) in the social media environment. The data were gathered using purposive sampling from 467 active social media users in India, using a cross-sectional design. The measurement model had 32 items in the main constructs, such as social media marketing activities (SMMAs), behavioural engagement, emotional engagement, and CRE. The results indicate that the content quality, interactivity, personalization, and posting consistency of SMMAs significantly impact behavioural engagement, which, in turn, improves emotional engagement. Behavioural and emotional engagement positively influences CRE. Notably, emotional engagement partly mediates the association between behavioural engagement and CRE, underscoring its role in transforming customer behaviour into significant relational value. The findings are applicable to engagement theory, as they show that transactional interactions can be converted into relational outcomes.
    Keywords: social media marketing activities; SMMAs; emotional engagement; behavioural engagement; customer relationship equity; CRE; content quality.
    DOI: 10.1504/IJBPIM.2026.10079690
     
  • Clustering-based CVRP model for route optimisation in urban LPG distribution   Order a copy of this article
    by Danışment Vural, An?l Uyan?k, Aylin Güler, Seda Koldemir, Selinay Akdeniz 
    Abstract: This study presents a two-phase optimization framework for improving urban Liquefied Petroleum Gas (LPG) distribution efficiency. The approach integrates k-means clustering for customer segmentation with a Capacitated Vehicle Routing Problem (CVRP) formulated as a Mixed Integer Programming (MIP) model. The model, implemented in GAMS, accounts for vehicle capacity, daily distance limits, and depot return constraints. Using real operational data from customers, the Elbow method identified four spatially compact clusters, reducing computational complexity and enabling locally optimized routing. Each cluster was solved independently, yielding a 16% reduction in total travel distance compared to current routes, without increasing fleet size. The proposed method produced more balanced and non-overlapping delivery routes. Overall, the results demonstrate that combining clustering with mathematical optimization enhances delivery efficiency, reduces operational costs, and provides a scalable framework applicable to medium-sized fuel distribution networks.
    Keywords: capacitated vehicle routing problem; CVRP; clustering; k-means; Elbow method; mixed integer programming; MIP; route optimisation; liquefied petroleum gas; LPG.
    DOI: 10.1504/IJBPIM.2026.10079691