https://jibds.khatam.ac.ir/ Innovative Business Development Strategies en daily 1 Mon, 22 Dec 2025 00:00:00 +0330 Mon, 22 Dec 2025 00:00:00 +0330 https://jibds.khatam.ac.ir/article_240208.html With the emergence of the Industry 4.0 paradigm and transformative technologies such as the Internet of Things, Cyber-Physical Systems, and Artificial Intelligence, the fields of logistics and fleet management are undergoing substantial changes. Nevertheless, the existing body of research remains fragmented and lacks conceptual coherence in systematically examining the role, position, and underlying mechanisms through which these technologies influence both classical and complex variants of the Vehicle Routing Problem (VRP). Addressing this gap constitutes the primary motivation of the present study.This research adopts a Systematic Literature Review (SLR) methodology and strictly follows the PRISMA 2020 guidelines to collect, screen, and conduct an in-depth analysis of the relevant literature. A structured search across the Scopus, Web of Science, ProQuest, and and other reputable scientific databases resulted in the selection and analysis of 27 representative studies published between 2011 and 2025.The findings reveal a significant gap between the growing complexity of algorithmic models proposed in the literature and the practical considerations required for their implementation within integrated Industry 4.0 ecosystems. To address this shortcoming, the study proposes a three-dimensional conceptual framework that captures the dynamic interaction among the nature of the problem, the role of technology, and the level of decision-making. This framework not only synthesizes the existing literature at a higher conceptual level but also provides a structured direction for future research aimed at achieving deeper integration between Industry 4.0 technologies and vehicle routing problems. https://jibds.khatam.ac.ir/article_232720.html Objectives: Sustainability has become one of the primary concerns of organizations and a symbol of their excellence. With the growing population and increasing demand for healthcare services, sustainable management of medical waste has gained critical importance. This study aims to assess the commitment of healthcare center managers to sustainability through the selection of waste disposal methods, utilizing knowledge management approaches and multi-criteria decision-making.Method: This applied research employs a hybrid multi-criteria decision-making approach. Initially, sustainability criteria in economic, environmental, and social dimensions were identified through expert opinions and a review of specialized literature. Then, in a case study, various medical waste disposal methods were evaluated and ranked with input from waste management and sustainability experts. Data collection tools included specialized questionnaires and semi-structured interviews.Results: The results indicated that methods such as recycling, source reduction, and innovative technologies showed the highest alignment with sustainability principles. In contrast, traditional methods like landfilling and incineration ranked lower.Conclusions: Knowledge management serves as an effective tool for institutionalizing sustainability in healthcare centers, and multi-criteria decision-making enhances this process.By focusing on the linkage between knowledge management and sustainability commitment in medical waste management, this study offers a novel perspective in the literature on sustainability and organizational decision-making. https://jibds.khatam.ac.ir/article_239406.html Background and Objective:Many startups, despite initially viable ideas, face instability in their business models when exposed to sudden environmental changes. A key reason is that business model design is often carried out without sufficient consideration of change drivers and alternative futures. This study aims to develop a foresight-based process that allows startups to test their business models against multiple plausible futures prior to implementation, thereby improving their resilience.Method:The process was developed through a systematic literature review combined with input from 12 experts, including academics and practitioners active in the innovation ecosystem. Data were collected using a structured questionnaire and analyzed using Interpretive Structural Modeling (ISM). Content validity was ensured through expert review and refinement of the questionnaire, while reliability was confirmed using a test–retest procedure.Results:The analysis identified twelve steps structured within a nine-level process. These steps start from the initial business model design and extend to model reconfiguration based on plausible scenarios and the examination of vulnerable assumptions. The process integrates selected foresight tools—such as environmental scanning, stakeholder analysis, scenario planning, and assumption-based planning—adapted to the practical constraints and limited resources typical of startups.Conclusions:The proposed process enables startup teams to assess the robustness of their business models against potential future developments before committing substantial resources. By revealing fragile assumptions and enabling timely strategic adjustments, the process enhances early-stage decision-making. When applied alongside approaches such as Lean Startup, it provides a practical and complementary tool for strengthening business model resilience. https://jibds.khatam.ac.ir/article_230664.html Objective: Exporting is one of the most important initial steps of organizations for development and investment to enter global markets and expand their international activities, therefore, in this research, the dynamic qualities of marketing and export resources have been investigated based on the belief and intention to export that export resources includes physical resources, financial resources, and economies of scale, and dynamic capabilities of export marketing include brand management, supply chain management, and new product development.Method: The type of research is applied from the point of view of the purpose and from the point of view of the survey method. The statistical population of the research is all the companies active in the mining field that intend to enter the export markets. It was done using structural equation modeling software and SPSS software.Results: The results of the research showed that the effect of export marketing dynamism on belief was positive, but the effect of export resources was not confirmed; Also, among the dimensions related to the dynamic capability of export marketing, supply chain management has the highest coefficient and brand management has the lowest effect; Finally, the effect of export belief on export intention was confirmed at the error level of 5%.Conclusions: it is suggested that the managers in the active mining company should focus on the supply chain and product development according to the market conditions, so that they can expand their markets internationally. https://jibds.khatam.ac.ir/article_242501.html Objective: The objective of this study is to analysis a higher-order structural explanation of how customers’ perceived economic cost–benefit interacts with brand value architecture and how this interaction shapes attitudinal and behavioral outcomes in the Iranian banking and insurance services sector. The study seeks to move beyond linear and purely economic models and to explore customer behavior as a meaning based, interpretive process.Method: A qualitative approach based on the constructivist grounded theory methodology (Charmaz) was adopted. Data were collected through in-depth semi structured interviews with 25 customers of reputable banking and insurance brands. Purposeful and theoretical sampling continued until theoretical saturation was reached. Data analysis followed a three-stage coding process conducted using MAXQDA 2020 software.Results: The findings indicate that perceived economic cost–benefit alone cannot explain customer behavior and functions mainly as an initial activating condition in the value creation process. The core category identified was “integration and transformation of economic perception within brand value architecture,” conceptualized as a higher order construct formed by four dimensions: perceived value, brand trust, brand image, and emotional value. Brand value architecture acts as a cognitive particularly positive attitudes and psychological commitment ؛play a key mediating role in transferring brand value into behaviors such as loyalty, repeat purchase, and word of mouth advocacy.Conclusions: The study concludes that customer behavior in financial services emerges through a multi stage, meaning based process. Without a coherent brand value architecture and sustained attitudinal foundations, economic evaluations alone cannot lead to long term value creating behaviors. The results highlight the need for financial service providers to emphasize cognitive, emotional, and meaning-oriented elements in managing brand value and fostering durable customer behaviors.