Does service modularity enhance new service development performance in supply chains: an empirical study

Osman, Osman Mohamed; Jian, Zhaoquan

doi:10.1108/jbim-12-2021-0536

Cited by 4 publications

(3 citation statements)

References 100 publications

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“…2023, 13, x FOR PEER REVIEW 3 of 17 on manufacturing lead time and throughput rate, but only marginally in other related domains (e.g., Refs. [27][28][29][30][31]). Experiences from Danish manufacturing companies showed that modularity principles are mostly applied in complex manufacturing processes, and that high levels of implementation of JIT shorten lead times, as might be expected [32].…”

Section: Methodology and Research Object Specificationmentioning

confidence: 99%

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Process Modularity Impact on Manufacturing Lead Time and Throughput Rate in Terms of Mass Customization

Modrak,

Soltysova,

Nazarejova

2023

Applied Sciences

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As mass customization becomes more pervasive in many sectors, researchers need to update traditional approaches to the optimization of critical performance and design parameters in order to help companies in their effort to implement this strategy. In general, implementation of mass customization from a manufacturing perspective is frequently focused on shortening cycle times, reducing production cost, and increasing throughput rate of parts. In this paper, process structure modularity impact on manufacturing lead times and throughput rates is explored. An important precondition to explore these relationships is the awareness that process modularity is conceptualized and quantified in an appropriate way. For this purpose, three independent modularity measures were employed to provide more reliable assessment of this system property. The relationships were investigated on the basis of simulation experiments using deterministic models of alternative process structures. For the purpose of the relationships exploration, two case studies were conducted, theoretical and practical ones. The results from the experiments showed that there are moderate correlations between process modularity and manufacturing lead time (ρ = −0.45), as well as between process modularity and throughput rate (ρ = 0.45).

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Section: Methodology and Research Object Specificationmentioning

confidence: 99%

“…In the latest years, some articles investigated the positive modularity impacts on manufacturing lead time and throughput rate, but only marginally in other related domains (e.g., Refs. [27][28][29][30][31]).…”

Section: Related Workmentioning

confidence: 99%

Process Modularity Impact on Manufacturing Lead Time and Throughput Rate in Terms of Mass Customization

Modrak,

Soltysova,

Nazarejova

2023

Applied Sciences

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“…Some of these innovations include the development of alternative distribution channels, the use of digital platforms for supply chain coordination and the adoption of new technologies for food safety and traceability (Akao, 2004). The shifting of FSCs to local or regional sourcing and strengthening them helps reduce reliance on international supply chains and, in turn, also helps in getting a source of revenue for the local people (Osman and Jian, 2023).…”

Section: Implications Of the Studymentioning

confidence: 99%

Food supply chain resilience in the digital era: a bibliometric analysis and development of conceptual framework

Sutar,

Kolte,

Yamini

et al. 2024

JBIM

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Purpose Food supply chain resilience is a critical aspect in ensuring the continuous and reliable flow of food, particularly in the face of disruptions. This study aims to address specific gaps in the existing literature by conducting a bibliometric analysis. The primary objective is to identify key areas of concern and lacunae related to disruptions and resilience within the food supply chain. The study also strives to contribute to the field by developing a comprehensive framework that evaluates the factors influencing resilience. Furthermore, the research intends to propose effective strategies for mitigating and recovering from disruptions, emphasizing the urgency of these measures in light of identified gaps in the current body of literature. Design/methodology/approach To achieve these objectives, the authors extracted the most relevant papers from Scopus and Web of Science (WoS) databases. The analysis parameters included a comprehensive review of current food supply chain practices and an exploration of trending research topics, such as sustainability, adaptability, circular economy and agility. Notably, the study recognized the pervasive impact of COVID-19 on food supply chain disruptions, with a high occurrence in the literature. Using advanced analytics tools like VOSviewer and Biblioshiny, the research delved into the role of modern technologies, including Industry 4.0, the Internet of Things (IoT), artificial intelligence (AI), machine learning (ML) and blockchain in addressing disruptions and enhancing resilience. Findings The research reveals a significant impact of the COVID-19 pandemic on food supply chain disruptions, underscoring the critical need for strategies to bolster resilience. Notably, the study identifies the pivotal role of modern technologies (Industry 4.0, IoT, AI, ML and blockchain) in mitigating disruptions and enhancing resilience in the food supply chain. The bibliometric analysis conducted through VOSviewer and Biblioshiny provides valuable insights into research trends and focal areas within the literature. Practical implications The observed importance of Industry 4.0, IoT, AI, ML and blockchain implies a practical need for integrating these technologies into food supply chain operations. Moreover, the paper discusses strategies for reducing the impact caused by disruptions, providing practical guidance for resilience planning in food supply chains. Researchers can leverage the findings to direct future efforts toward areas with identified gaps and opportunities, fostering advancements in the field and offering practical insights for real-world applications. Originality/value By amalgamating insights from bibliometric analysis and the developed framework, this study contributes to a holistic understanding of the challenges and opportunities in fortifying the resilience of the food supply chain. The identified factors and strategies offer valuable insights for researchers and practitioners seeking to address disruptions in food supply chains. The study’s unique contribution lies in bridging theoretical perspectives with practical applications, enhancing the relevance of business-to-business/industrial supply chain theories.

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Text analytics and new service development: a hybrid thematic analysis with systematic literature review approach

Rouhani,

Bozorgi,

Amoozad Mahdiraji

et al. 2024

EMJB

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PurposeThis study addresses the gap in understanding text analytics within the service domain, focusing on new service development to provide insights into key research themes and trends in text analytics approaches to service development. It explores the benefits and challenges of implementing these approaches and identifies potential research opportunities for future service development. Importantly, this study offers insights to assist service providers to make data-driven decisions for developing new services and optimising existing ones.Design/methodology/approachThis research introduces the hybrid thematic analysis with a systematic literature review (SLR-TA). It delves into the various aspects of text analytics in service development by analysing 124 research papers published from 2012 to 2023. This approach not only identifies key practical applications but also evaluates the benefits and difficulties of applying text analytics in this domain, thereby ensuring the reliability and validity of the findings.FindingsThe study highlights an increasing focus on text analytics within the service industry over the examined period. Using the SLR-TA approach, it identifies eight themes in previous studies and finds that “Service Quality” had the most research interest, comprising 42% of studies, while there was less emphasis on designing new services. The study categorises research into four types: Case, Concept, Tools and Implementation, with case studies comprising 68% of the total.Originality/valueThis study is groundbreaking in conducting a thorough and systematic analysis of a broad collection of articles. It provides a comprehensive view of text analytics approaches in the service sector, particularly in developing new services and service innovation. This study lays out distinct guidelines for future research and offers valuable insights to foster research recommendations.

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Does service modularity enhance new service development performance in supply chains: an empirical study

Cited by 4 publications

References 100 publications

Process Modularity Impact on Manufacturing Lead Time and Throughput Rate in Terms of Mass Customization

Process Modularity Impact on Manufacturing Lead Time and Throughput Rate in Terms of Mass Customization

Food supply chain resilience in the digital era: a bibliometric analysis and development of conceptual framework

Text analytics and new service development: a hybrid thematic analysis with systematic literature review approach

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