Journal of Sustainability Industrial Engineering and Management System
Journal of Sustainability Industrial Engineering and Management System is an interdisciplinary academic journal devoted to the publication of high-quality research and contributions to the industrial engineering and management community. The major focus are: - To collect and disseminate information on new and advanced developments in the field of industrial engineering and management; - To encourage further progress in engineering and management methodology and applications; - To cover the range of engineering and management development and usage in their use of managerial policies and strategies. Journal of Sustainability Industrial Engineering and Management System invites the submission of original, high-quality, theoretical, and application-oriented research; general surveys and critical reviews; educational or training articles, including case studies, in the field of industrial engineering and management. - Design and Manufacturing Engineering, - Facilities Engineering, Environment, and Energy - Production Systems, - Operations Research & Analysis, - Service Engineering, - Application of Artificial Intelligence in Industrial Engineering and Management, - Automation, Robotics, and Mechatronics, - Information and Communication Systems, - ICT for Collaborative Manufacturing, - Computational modelling, - Applied Statistics and Data Mining, - Quality and Reliability Engineering, - Human Factors, Ergonomics, and Safety, - Work Design and Measurement, - System Design and Engineering, - Organization and Human Resources, - Engineering Management, - Entrepreneurship and Innovation, - Inventory, Logistics, and Transportation, - Project Management, - Supply Chain Management, - Risk Management, - Asset Pricing Models and Portfolio Optimization, - Marketing and Commerce, - Investment, Finance, and Accounting, - Insurance Engineering and Management, - Media Engineering and Management, - Education and Practices in Industrial Engineering and Management, - Other Related Subject.
Articles
35 Documents
<![CDATA[Visual Merchandising Impact on Consumer Attention: A Qualitative Retail Study ]]>
<![CDATA[Ayudia, Kirana]]>
<![CDATA[ Journal of Sustainability Industrial Engineering and Management System Vol. 4 No. 1 (2025): July - December ]]>
Publisher : <![CDATA[Omnia Tempus ]]>
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DOI: 10.56953/jsiems.v4i1.49
<![CDATA[This research aims to investigate the influence of store environment and design on consumer behavior, focusing on how various elements such as visual merchandising, store layout, and environmental cues affect customer perceptions, decision-making, and overall satisfaction. The study employs a qualitative research methodology, relying on a comprehensive review of literature and case studies from retail and marketing disciplines. The study finds that store environment factors like lighting, color, and spatial design significantly influence customers' quality inferences and store image, ultimately shaping their shopping experience and purchase intentions. It also reveals that strategic store layouts and the integration of entertainment elements into retail spaces enhance customer engagement and satisfaction. Additionally, the research highlights the role of environmental cues in reinforcing brand identity and emotional connections with customers. The findings suggest that retailers must carefully design their store environments to align with consumer expectations and to foster a positive shopping experience. This research contributes to the existing body of knowledge by emphasizing the importance of environmental design in retail marketing and offering practical insights for retail managers and marketers to improve consumer engagement and loyalty.]]>
<![CDATA[Digital Risk Management Practices among Indonesians Startups ]]>
<![CDATA[Rasyidwan, Faizal]]>
<![CDATA[ Journal of Sustainability Industrial Engineering and Management System Vol. 4 No. 1 (2025): July - December ]]>
Publisher : <![CDATA[Omnia Tempus ]]>
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DOI: 10.56953/jsiems.v4i1.50
<![CDATA[This study aims to explore the digital risk management practices among Indonesian startups, with a focus on understanding the challenges, strategies, and effectiveness of their risk mitigation approaches. As digital transformation continues to reshape the startup ecosystem, managing digital risks such as cybersecurity threats, data privacy concerns, and technological obsolescence has become critical for the survival and growth of startups. A qualitative research methodology was employed, using a literature review approach to synthesize findings from recent studies, reports, and industry insights. The research identifies the unique digital risks faced by Indonesian startups and evaluates the strategies they implement to address these challenges. The findings suggest that while Indonesian startups are increasingly aware of digital risks, their approaches to risk management are still in early stages and vary significantly based on the startup's size, resources, and sector. Key strategies include the use of cloud computing, investment in cybersecurity tools, and employee training in data privacy practices. However, significant barriers such as a lack of skilled professionals, financial constraints, and regulatory uncertainty continue to hinder the full adoption of comprehensive digital risk management practices. The study also highlights the role of emerging technologies, such as artificial intelligence and blockchain, in mitigating digital risks. The findings contribute to both theoretical and practical understandings of digital risk management in startups, offering insights into the specific challenges and solutions relevant to startups in emerging markets like Indonesia. This research has important implications for policymakers, startup managers, and future studies in digital risk management.]]>
<![CDATA[Exploring Gender Inclusion in Industrial Engineering Classrooms ]]>
<![CDATA[Puspandari, Dewi]]>
<![CDATA[ Journal of Sustainability Industrial Engineering and Management System Vol. 4 No. 1 (2025): July - December ]]>
Publisher : <![CDATA[Omnia Tempus ]]>
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DOI: 10.56953/jsiems.v4i1.51
<![CDATA[This study explores gender inclusion in industrial engineering classrooms, aiming to identify the barriers, pedagogical practices, and institutional policies that affect the participation and success of female and gender-diverse students. The research employs a qualitative approach, specifically a literature review, to analyze existing studies and scholarly works related to gender dynamics in engineering education. Through a systematic collection of peer-reviewed articles, books, and other academic sources, the study synthesizes findings regarding the experiences of students in industrial engineering programs, focusing on factors such as implicit bias, stereotypes, lack of role models, and the overall classroom environment. The analysis reveals several key barriers to gender inclusion, including the perpetuation of male-dominated perceptions, biased faculty practices, and insufficient institutional support for gender diversity. Furthermore, the study highlights the critical role of faculty development in promoting gender-sensitive teaching practices and the importance of creating inclusive curricula and institutional policies that actively support gender-diverse students. The findings suggest that while progress has been made, continued efforts are necessary to create truly inclusive educational environments in industrial engineering. Key recommendations include the adoption of gender-sensitive pedagogies, the recruitment of female faculty members, and the establishment of support networks for female and gender-diverse students. These efforts are essential to ensuring that all students, regardless of gender, are given the tools and opportunities to succeed in the field.]]>
<![CDATA[The Emotional Impact of Influencer Fatigue on Online Shopping Decisions ]]>
<![CDATA[Fitriani, Salma]]>
<![CDATA[ Journal of Sustainability Industrial Engineering and Management System Vol. 4 No. 1 (2025): July - December ]]>
Publisher : <![CDATA[Omnia Tempus ]]>
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DOI: 10.56953/jsiems.v4i1.53
<![CDATA[This study investigates the emotional impact of influencer fatigue on online shopping decisions by employing a qualitative research approach based on systematic literature analysis. The objective is to understand how the saturation of influencer content affects consumer trust, emotional engagement, and purchasing behavior in digital platforms. The research draws on an extensive review of 50 peer-reviewed articles published between 2018 and 2025, selected through major academic databases such as Scopus, Web of Science, and Google Scholar. Thematic synthesis was used to analyze the literature, enabling the identification of key emotional constructs such as affective exhaustion, parasocial disappointment, trust erosion, and consumer resistance. The findings reveal that influencer fatigue is not merely the result of excessive exposure but a nuanced emotional phenomenon that weakens the persuasive power of social media influencers by triggering psychological disengagement and moral skepticism. Furthermore, this emotional dissonance reduces consumer receptivity to promotional messages and shifts their shopping behavior toward more autonomous and skeptical decision-making patterns. The study also identifies emerging behavioral trends such as de-influencing and digital minimalism as coping strategies adopted by consumers in response to fatigue. From a theoretical perspective, the research advances the conceptualization of influencer fatigue by integrating emotional regulation theory with parasocial interaction and advertising skepticism. From a managerial standpoint, the study suggests that brands and digital marketers must recalibrate their influencer strategies to prioritize emotional sustainability and content authenticity. These findings offer a foundation for further empirical inquiry and guide ethical practices in digital consumer engagement.]]>
<![CDATA[Teaching Industrial Engineering in the Digital Age: A Reflective Study ]]>
<![CDATA[Mardiani, Anindya]]>
<![CDATA[ Journal of Sustainability Industrial Engineering and Management System Vol. 4 No. 1 (2025): July - December ]]>
Publisher : <![CDATA[Omnia Tempus ]]>
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DOI: 10.56953/jsiems.v4i1.54
<![CDATA[The rapid advancement of digital technologies has prompted a paradigm shift in engineering education, particularly within the field of Industrial Engineering (IE), which inherently intersects with systems thinking and data-driven decision-making. This study aims to investigate how reflective teaching practices adapt to the digital transformation of IE education and to identify the pedagogical strategies that have emerged as effective in supporting student engagement and learning outcomes in digital environments. Employing a qualitative research design based on an integrative literature review, this research analyzed 52 peer-reviewed sources published between 2015 and 2024, drawing from databases such as Scopus, Web of Science, and ScienceDirect. Thematic analysis revealed four major insights: the transformation of pedagogical models through digital modalities such as flipped classrooms and simulation-based learning; the critical role of reflective teaching in enabling instructional adaptability; the persistent challenges related to inclusivity, digital inequity, and student motivation; and the need for sustainable institutional support to foster long-term pedagogical innovation. Findings indicate that reflective educators are more capable of integrating technological tools purposefully, responding to diverse student needs, and recalibrating their instructional approaches in dynamic learning contexts. Moreover, the study underscores the importance of embedding reflective practice into institutional development strategies and aligning them with inclusive digital pedagogy principles. This research contributes to the evolving discourse on engineering education in the digital age by offering actionable insights for educators, curriculum designers, and policymakers striving to build resilient, adaptive, and inclusive learning ecosystems in industrial engineering programs.]]>
