A Conceptual Framework on Implementing Additive Manufacturing Technology Towards Firm Competitiveness

Chan

et al. 2023

IJMMU

Implementing marketing strategies is crucial for hospitality organisations to reach their target markets and improve their performance and competitive advantage. Hence, this study examines the impact of various trending marketing strategies on the restaurant industry's competitiveness among Gen Z consumers. Using the asset-process-performance (APP) framework, this research involves six measured constructs: service robots, social media, online advertisements, website experiences, brand love and competitiveness. The samples of 301 survey questionnaires were collected from Gen Z consumers in the restaurant industry. Statistical Package for Social Science (SPSS) was used to conduct this study's data analysis. Based on the findings, service robots, social media, online advertisements, website experiences, and brand love demonstrated a significant impact on the restaurant industry's competitiveness among Gen Z consumers. Further, the research provides practical implications by better understanding Gen Z consumers, implementing appropriate marketing strategies accordingly, and impacting practice in the restaurant industry.

Section: Rational Of the Studymentioning

confidence: 99%

Generating Competitiveness through Trending Marketing strategies, Case of Gen Z Consumers in the Restaurant industry

Chan

et al. 2023

IJMMU

Vision: The Journal of Business Perspective

“…Also, customized products may be manufactured to meet customer demand by facilitating the adoption of the make-to-order strategy and increasing its responsiveness to the agile SC (Li et al, 2018). AM enables organizations to manufacture a product with digital design by avoiding the traditional SC (Özceylan et al, 2018; Sonar et al, 2020). According to Huang et al (2015), AM may decrease the traditional SC structure, resulting in a reduction of the need for warehousing, transportation and packaging.…”

Section: Additive Manufacturing-enabled Supply Chain Managementmentioning

confidence: 99%

Additive Manufacturing Enabled Supply Chain Management: A Review and Research Directions

Sonar

Khanzode

Akarte

2022

Self Cite

The emergence of additive manufacturing (AM) is expected to recon figure the traditional supply chain (SC) with more flexibility and agility, leading to opportunistic collaboration. The purpose of the work is to identify research dimensions based on AM-enabled supply chain management (SCM) taxonomy from the product, information and service flow point of view. This article uses a systematic literature review (SLR) on AM-enabled SCM. The literature from 116 peer-reviewed journal papers over 10 years (2010–2021) was comprehensively reviewed and assessed. The selected articles were characterized using (a) SC processes—upstream, manufacturing and downstream and (b) SC flows—goods and services, information and finance. This work provides a direction to scholars and academicians for identifying important SC implications of AM technology adoption. Practitioners can benefit by understanding several challenges involved in AM technology adoption and its implications on SC processes. This work adds new insights by identifying research dimensions based on AM-enabled SCM taxonomy.

“…Our study addresses this gap by consolidating product and supply chain level factors in a typology for AM adoption. Although few researchers have developed frameworks for AM implementation focusing on various specific business perspectives, such as Braziotis et al (2019) developed a framework based on logistics deployment and Sonar et al (2020) developed a framework based on firm competitiveness, to our knowledge, no study has developed a typology for AM adoption in generic supply chain context.…”

Section: Contingent Adoption Of Am In Supply Chainsmentioning

confidence: 99%

Investigating contingent adoption of additive manufacturing in supply chains

Patil

Niranjan

Narayanamurthy

et al. 2022

IJOPM

PurposeThe purpose of this research is to investigate the contingent adoption of Additive Manufacturing (AM) and propose a typology to evaluate its adoption viability within a firm's supply chain.Design/methodology/approachBy conducting semi-structured interviews of practitioners with deep knowledge of AM and supply chains from diverse industries, this research explores the contingent factors influencing AM adoption and their interaction.FindingsWhile the AM literature is growing, there is a lack of research investigating how contingent factors influence AM adoption. By reviewing the extant literature on the benefits and barriers of AM, we explain the underlying contingencies that enact them. Further, we use an exploratory approach to validate and uncover underexplored contingent factors that influence AM adoption and group them into technological, organizational and strategic factors. By anchoring to a selected set of contingent factors, a typological framework is developed to explain when and how AM is a viable option.Research limitations/implicationsThis study focuses on specific industries such as automotive, machine manufacturing, aerospace and defense. Scholars are encouraged to explore the contextual factors affecting AM adoption in particular industries to expand our findings. The authors also acknowledge that the robustness of their framework can be enhanced by integrating the remaining contingent factors.Practical implicationsThe developed typological framework provides a pathway for practitioners to see how and when AM can be useful in their supply chains.Originality/valueThis is the first paper in the supply chain management literature to synthesize contingent factors and identify some overlooked factors for AM adoption. The research is also unique in explaining the interaction among selected factors to provide a typological framework for AM adoption. This research provides novel insights for managers to understand when and where to adopt AM and the key contingent factors involved in AM adoption.