41 research outputs found
Additive Manufacturing and Green Information Systems as Technological Capabilities for Firm Performance
No full textGiven the importance of environmental objectives, companies are continuously trying to achieve them through different means and technologies are not an exception. Companies are increasingly using information systems (soft side) coupled with manufacturing (hard side) technologies to achieve market and operational performance. Therefore, this study investigates the role of green information systems (GIS) and additive manufacturing (AM) in the market and operational performance achievement of an organization. This study explores if the role of GIS and AM is influenced by firm size and number of employees in the organization with the lens of organizational information processing theory. Through survey instrument, data from 211 respondents are collected and analysis is performed using structural equation modelling. Findings indicate that GIS is critical to overall performance as compared to AM. In addition, top management facilitates extension of business activities significantly as compared to internal operations. Control orientation works best for new technologies like GIS and AM. The study offers an array of scope for theoretical and practical implications to utilize GIS and emerging technologies like AM to achieve greater market and operational performance. Further, the study offers implications for AM and GIS professionals and researchers. The study contributes in integrating manufacturing and information systems to facilitate faster technological and information processing capabilities
Impact of hard and soft TQM on supply chain performance: empirical investigation of pharmaceutical industry
No full textInformation Systems, Supply Chain Management and Operational Performance: Tri-linkage—An Exploratory Study on Pharmaceutical Industry of India
No full text The present study made an effort to investigate the tri-linkage between information systems (ISs) and supply chain management (SCM) practices to enhance the operational performance (OP) of an organization. The study made an effort to find out, how different kinds of ISs help the supply chain to achieve greater OP. Three constructs, namely, operational IS, strategic IS and infrastructural IS, have been identified from literature. Four plant-level supply chain constructs, namely, strategic supplier partnership, information sharing and information quality, purchasing management and inventory management, have been identified. The co-relation between ISs, supply chain practices and OP has been tested. Finally, both ISs and supply chain impact on OP have been evaluated. The ISs create an indirect impact on OP via supply chain practices, which results in OP. The OP can be in the form of reduction in number of defects in operations, quality improvement in products, delivery of products or raw material at right place, at right time and in right quantity. The study leads to interesting implications for practitioners. The ISs should be connected at various levels, that is, operational, strategic and infrastructural, to support the entire supply chain. With the changing dynamics of accuracy and speed in operations and the target of achieving economies of scale, the role of ISs becomes critical in the entire supply chain. The supply chain and information technology practices impact on OP has been studied by the number of authors. However, the classification of ISs and plant-level supply chain impact on OP has not been studied in detail by authors. </jats:p
Has Covid-19 accelerated opportunities for digital entrepreneurship? An Indian perspective
No full textCovid-19 has challenged many businesses to orient themselves towards digital solutions for their survival. Due to the rising digital wave during Covid-19, there has been a plethora of opportunities for aspiring entrepreneurs to enter the market. Hence, this study focuses on understanding emerging areas and technologies for digital entrepreneurship. This study adopted a qualitative approach with semi-structured interviews through the lens of the diffusion of innovations theory. A total of 23 entrepreneurs responded and presented their views on Covid-19-induced opportunities for digital entrepreneurship. A structured process of open, axial, and selective coding was adopted for the thematic analysis. The study presents a framework based on four promising propositions. Results of the thematic analysis indicate the emergence of digital entrepreneurship opportunities in technology (EdTech, FinTech, cybersecurity), healthcare (diagnostics, virtual care, fitness), entertainment (over the top, gaming, social media), and e-commerce (contactless delivery, payment methods, augmented reality). In this study, entrepreneurs presented their views based on their experience with the platform or technology they operated. To this end, the present study offers implications both for scholars and entrepreneurs working in and aspiring to digital entrepreneurship along with future scope of research
Linkage between total quality and supply chain management practices and operational performance: a review
No full textImpact of hard and soft TQM on supply chain performance: empirical investigation of pharmaceutical industry
No full textLinkage between total quality and supply chain management practices and operational performance: a review
No full textA Research Study on Estimation of TQM ‘Factors Ratings’ Through Analytical Hierarchy Process
No full textAbstractRigorous review of the literature advocates that a several factors are to be considered for effective deployment of TQM in an organization. Different business excellence models considers slightly different factor with different weights, but a selected business model suggests same factor ratings for all types of Industrial units. The factor weights are very much necessary at two stages, one is for giving required importance while deploying TQM concept in an organization, second stage to understand the degree of business excellence achieved through TQM deployment. Hence the author has attempted to develop organization specific factors and factor ratings by considering business specific key performance indicators (KPIs) along with weighted ratings with the help of Analytical Hi erarchy Process (AHP)
Artificial intelligence for supply chain resilience: learning from Covid-19.
No full textMany supply chains have faced disruption during Covid-19. Artificial intelligence (AI) is one mechanism that can be used to improve supply chain resilience by developing business continuity capabilities. This study examines how firms employ AI and consider the opportunities for AI to enhance supply chain resilience by developing visibility, risk, sourcing and distribution capabilities. The authors have gathered rich data by conducting semistructured interviews with 35 experts from the e-commerce supply chain. The authors have adopted a systematic approach of coding using open, axial and selective methods to map and identify the themes that represent the critical elements of AI-enabled supply chain resilience. The results of the study highlight the emergence of five critical areas where AI can contribute to enhanced supply chain resilience; (1) transparency, (2) ensuring last-mile delivery, (3) offering personalized solutions to both upstream and downstream supply chain stakeholders, (4) minimizing the impact of disruption and (5) facilitating an agile procurement strategy. The study offers interesting implications for bridging the theory–practice gap by drawing on contemporary empirical data to demonstrate how enhancing dynamic capabilities via AI technologies further strengthens supply chain resilience. The study also offers suggestions for utilizing the findings and proposes a framework to strengthen supply chain resilience through AI. The study presents the dynamic capabilities for supply chain resilience through the employment of AI. AI can contribute to readying supply chains to reduce their risk of disruption through enhanced resilience
