The impact of RFID, IIoT, and Blockchain technologies on supply chain transparency

2019 ◽  
Vol 31 (3) ◽  
pp. 441-457 ◽  
Author(s):  
Pamela J. Zelbst ◽  
Kenneth W. Green ◽  
Victor E. Sower ◽  
Philip L. Bond
Keyword(s):  
Supply Chain ◽  
Radio Frequency Identification ◽  
Equation Modeling ◽  
Rfid Technology ◽  
Measurement Scales ◽  
Technology Utilization ◽  
Content Type ◽  
Blockchain Technology ◽  
Combined Impact ◽  
The Impact

Purpose The purpose of this paper is to assess the combined impact of radio frequency identification (RFID), Industrial Internet of Things (IIoT) and Blockchain technologies on supply chain transparency (SCT). Design/methodology/approach Data from 211 US manufacturing managers is analyzed using a covariance-based structural equation modeling methodology. Findings The structural model fits the data relatively well. RFID technology directly and positively impact both IIoT and Blockchain technologies which, in turn, directly and positively impact SCT. RFID technology indirectly affects SCT through both IIoT technology and Blockchain technology. Research limitations/implications This study is the first to empirically assess the impact of RFID, IIoT and Blockchain technologies on SCT. First-wave empirical studies must be replicated to support generalization of the findings. Practical implications This study provides empirical evidence to support the implementation of a combination of RFID, IIoT and Blockchain technologies as infrastructure necessary to achieve end-to-end SCT. Originality/value New measurement scales for IIoT technology utilization and Blockchain technology utilization are developed and assessed for validity and reliability. This is the first study to assess the combined impact of RFID, IIoT and Blockchain technologies on SCT.

Evaluating the supply chain information flow in Egyptian SMEs using six sigma

2018 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Omneya Kandil ◽  
Rasha Abd El Aziz
Keyword(s):  
Supply Chain ◽  
Business Process ◽  
Radio Frequency Identification ◽  
Six Sigma ◽  
Measurement Tool ◽  
Rfid Technology ◽  
Structured Interviews ◽  
Content Type ◽  
The Cost ◽  
The Impact

Purpose There is a great deal of concern among the Egyptian economy that small- and medium-sized enterprises’ (SMEs’) potentials are not fully used although they dominate it and contribute to its success. The question is what challenges are preventing those SMEs from performing efficiently. This research aims to focus on examining the issues regarding the supply chain of Egyptian SMEs, exploring the areas that need improvement and assessing the impact of technology in enhancing their performance and whether they afford applying it. Design/methodology/approach In this research, semi-structured interviews were conducted at 14 Egyptian SMEs. Then, the business process at six of the fourteen SMEs was observed. After that, a representative sampling was applied and a company was chosen as a representative case company. Moreover, the selected company’s documents were analyzed to capture the full image of the current supply chain performance in Egyptian SMEs. Finally, the Six Sigma DMAIC approach was used to assess the effectiveness of the current supply chain and identify the problems faced and how to deal with these deficiencies. Findings The current process of the supply chain was analyzed and the result shows the obstacles and constrains facing SMEs in Egypt. Despite the clear benefits of radio frequency identification (RFID) technology, Egyptian SMEs still do not use it to solve their problems due to its high cost and their low budgets. However, the investigation concludes that SMEs in particular can benefit from the RFID technology and will be able to pay back the cost of the system applied after a certain period of time that is measured by calculating the breakeven point of having the RFID system against the current situation. As a result, improvements were realized and recommended for the organization. Originality/value This research develops a model that suits SMEs in the Egyptian market. The use of a case study approach with a quality measurement tool, namely, the Six Sigma DMAIC approach, especially after surveying several SMEs, and observing the business process at some of them, makes this a thorough investigation which proves that even SMEs can use the RFID technology despite its high cost that hinders its utilization. Thus, this research helps decision-makers in Egyptian SMEs make better informed decisions and guides them to when will they be able to pay back the cost of the system applied.

Impact of RFID and information sharing on JIT, TQM and operational performance

2014 ◽  
Vol 37 (11) ◽  
pp. 970-989 ◽  
Author(s):  
Pamela J. Zelbst ◽  
Kenneth W. Green, Jr ◽  
Victor E. Sower ◽  
Roger D. Abshire
Keyword(s):  
Path Analysis ◽  
Information Sharing ◽  
Radio Frequency Identification ◽  
Structural Equation ◽  
Operational Performance ◽  
Equation Modeling ◽  
Rfid Technology ◽  
Total Quality ◽  
Content Type ◽  
The Impact

Purpose – This aim of this paper, from a systems perspective, is to focus on the effects of Radio Frequency Identification (RFID) technology adoption and information sharing within a manufacturing facility on the just-in-time (JIT) and total quality management (TQM) practices and the subsequent impact on operational performance of manufacturing firms. Design/methodology/approach – Data were collected from 104 manufacturing managers, supervisors and quality professionals and analyzed using a path analysis methodology. Findings – RFID technology utilization and supply chain information sharing combine to enhance a manufacturing organization’s JIT and TQM capabilities which lead to improve operational performance. Research limitations/implications – Although the sample size is large enough to support path analysis, it is not of sufficient size to support structural equation modeling. This limitation precludes assessing the model as a whole. Direct and indirect effects are assessed, however. Practical implications – Manufacturing managers are provided with a framework for assessing the synergistic impact of combining RFID technology and information sharing on the JIT and TQM capabilities and the subsequent impact on the operational performance of the firm. Originality/value – A systems approach to assessing the impact of a combination of RFID technology and information sharing on operations programs is developed and tested. The results verify the importance of implementing RFID technology within an information sharing environment and support the proposition that RFID technology enhances both JIT and TQM capabilities.

scholarly journals A Framework for Assessing the Value of RFID Implementation by Tier-One Suppliers to Major Retailers

2008 ◽  
Vol 3 (1) ◽  
pp. 55-70
Author(s):  
Dharmaraj Veeramani ◽  
Jenny Tang ◽  
Alfonso Gutierrez
Keyword(s):  
Supply Chain ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Return On Investment ◽  
Real Life ◽  
Data Capture ◽  
Automatic Identification ◽  
Rfid Technology ◽  
Frequency Identification ◽  
The Impact

Radio frequency identification (RFID) is a rapidly evolving technology for automatic identification and data capture of products. One of the barriers to the adoption of RFID by organizations is difficulty in assessing the potential return on investment (ROI). Much of the research and analyses to date of ROI in implementing RFID technology have focused on the benefits to the retailer. There is a lack of a good understanding of the impact of RFID at upper echelons of the supply chain. In this paper, we present a framework and models for assessing the value of RFID implementation by tier-one suppliers to major retailers. We also discuss our real-life application of this framework to one of Wal-Mart’s top 100 suppliers

The impact of counterfeit risk management on healthcare supply chain performance: an empirical analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mauro Falasca ◽  
Scott Dellana ◽  
William J. Rowe ◽  
John F. Kros
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
The United States ◽  
Equation Modeling ◽  
Significant Positive Effect ◽  
Healthcare Organizations ◽  
Content Type ◽  
Overall Performance ◽  
The Impact ◽  
Positive Effect

PurposeThis study develops and tests a model exploring the relationship between supply chain (SC) counterfeit risk management and performance in the healthcare supply chain (HCSC).Design/methodology/approachIn the proposed theoretical model, HCSC counterfeit risk management is characterized by HCSC counterfeit risk orientation (HCRO), HCSC counterfeit risk mitigation (HCRM) and HCSC risk management integration (HRMI), while performance is represented by healthcare logistics performance (HLP) and healthcare organization overall performance (HOP). Partial least squares structural equation modeling (PLS-SEM) and survey data from 55 HCSC managers are used to test the research hypotheses.FindingsHCRO has a significant positive effect on HCRM, while HCRM has a positive impact on HRMI. With respect to HLP, HCRM has a nonsignificant effect, while HRMI has a significant impact, thus confirming the important mediating role of HRMI. Finally, HLP has a significant positive effect on the overall performance of healthcare organizations.Research limitations/implicationsAll study participants were from the United States, limiting the generalizability of the study findings to different countries or regions. The sample size employed in the study did not allow the authors to distinguish among the different types of healthcare organizations.Originality/valueThis study delineates between a healthcare organization's philosophy toward counterfeiting risks vs actions taken to eliminate or reduce the impact of counterfeiting on the HCSC. By offering firm-level guidance for managers, this study informs healthcare organizations about addressing the challenge of counterfeiting in the HCSC.

scholarly journals Impact of big data and predictive analytics capability on supply chain sustainability

2018 ◽  
Vol 29 (2) ◽  
pp. 513-538 ◽  
Author(s):  
Shirish Jeble ◽  
Rameshwar Dubey ◽  
Stephen J. Childe ◽  
Thanos Papadopoulos ◽  
David Roubaud ◽  
...  
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Theoretical Model ◽  
Performance Measures ◽  
Structural Equation ◽  
Predictive Analytics ◽  
Equation Modeling ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this paper is to develop a theoretical model to explain the impact of big data and predictive analytics (BDPA) on sustainable business development goal of the organization.Design/methodology/approachThe authors have developed the theoretical model using resource-based view logic and contingency theory. The model was further tested using partial least squares-structural equation modeling (PLS-SEM) following Peng and Lai (2012) arguments. The authors gathered 205 responses using survey-based instrument for PLS-SEM.FindingsThe statistical results suggest that out of four research hypotheses, the authors found support for three hypotheses (H1-H3) and the authors did not find support forH4. Although the authors did not find support forH4(moderating role of supply base complexity (SBC)), however, in future the relationship between BDPA, SBC and sustainable supply chain performance measures remain interesting research questions for further studies.Originality/valueThis study makes some original contribution to the operations and supply chain management literature. The authors provide theory-driven and empirically proven results which extend previous studies which have focused on single performance measures (i.e. economic or environmental). Hence, by studying the impact of BDPA on three performance measures the authors have attempted to answer some of the unresolved questions. The authors also offer numerous guidance to the practitioners and policy makers, based on empirical results.

Analyzing the post-harvest supply chain enablers of vertical integration for rural employability and marketability

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rahul Priyadarshi ◽  
Srikanta Routroy ◽  
Girish Kant
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Vertical Integration ◽  
Rural Areas ◽  
Structural Equation ◽  
Equation Modeling ◽  
Value Addition ◽  
Content Type ◽  
Post Harvest ◽  
The Impact

Purpose The purpose of this study is to analyze the post-harvest supply chain enablers (PHSCEs) for vertical integration to enhance rural employability, farmer profitability and rural produce marketability (i.e. market prospects) in the post-harvest supply chain (PHSC). The impact of vertical integration is also explored for various commercial produces. Design/methodology/approach A structural equation modeling (SEM) of PHSCEs for vertical integration was developed to enhance market prospects, rural employability and farmer profitability. The impact of business-to-business (B2B) and business-to-customer market prospects are explored in various dimensions for stakeholders such as farmers, manufacturers (processors), distributors and retailers. The fuzzy technique for order of preference by similarity to ideal solution (F-TOPSIS) was used to prioritize these PHSCEs to improve market prospects and rural employability. Findings The PHSCEs are clustered into three groups, namely, initiatives at the strategic frontier, initiatives at the tactical frontier and concerns for rural employability via vertical integration using exploratory factor analysis, confirmatory factor analysis and SEM to prove the null hypothesis. With F-TOPSIS results, the availability of warehousing was found to be the most crucial enabler when observing the PHSCEs from the initiatives’ perspective. The technology adaptability and availability, institute for training and research and information infrastructure and information visibility were found to be the key PHSCEs when observed from PHSC stakeholders’ perspectives. Research limitations/implications The implementation of this study will improve the rural produce marketability, rural employability, B2B marketing (i.e. effective distribution) and subsequent value chains with the practice of vertical integration for fresh produce at the rural level. Practical implications The outcomes of this study have a key role in developing the rural regions and improving rural livelihoods via value addition. The awareness of commercial cultivation and value addition in rural areas needs to be improved. This will help farmers to earn better revenues with improved market prospects in comparison to the revenues obtained from the cultivation of staple/conventional crops. Originality/value In an era of cold chains and food processing, this study aims to disseminate awareness about value addition for commercial and fresh produces at the rural level. The implication of this study will improve rural produce marketability, rural employability and farmer profitability at the rural level with the level of vertical integration.

The impact of information security initiatives on supply chain robustness and performance: an empirical study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sindhuja P.N.
Keyword(s):  
Supply Chain ◽  
Information Security ◽  
Supply Chains ◽  
Structural Equation ◽  
Essential Element ◽  
Equation Modeling ◽  
Content Type ◽  
And Performance ◽  
The Impact ◽  
Supply Chain Robustness

Purpose Information security is an essential element in all business activities. The damage to businesses from information security breaches has become pervasive. The scope of information security has widened as information has become a critical supply chain asset, making it more important to protect the organization’s data. Today’s global supply chains rely upon the speedy and robust dissemination of information among supply chain partners. Hence, processing of accurate supply chain information is quintessential to ensure the robustness and performance of supply chains. An effective information security management (ISM) is deemed to ensure the robustness of supply chains. The purpose of the paper is to examine the impact of information security initiatives on supply chain robustness and performance. Design/methodology/approach Based on extant literature, a research model was developed and validated using a questionnaire survey instrument administered among information systems/information technology managers. Data collected were analyzed using exploratory and confirmatory factor analysis. Further, to test the hypotheses and to fit the theoretical model, Structural equation modeling techniques were used. Findings Results of this study indicated that information security initiatives are positively associated with supply chain robustness and performance. These initiatives are likely to enhance the robustness and performance of the supply chains. Originality/value With the advancements in internet technologies and capabilities as well as considering the dynamic environment of supply chains, this study is relevant in terms of the capability that an organization needs to acquire with regards to ISM. Benefiting from the resource dependency theory, information security initiatives could be considered as a critical resource having an influence on the internal and external environment of supply chains.

Understanding the influence of lean and agile strategies on creating firms’ supply chain risk management capabilities

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Waqar Ahmed ◽  
Muhammad Zaki Rashdi
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Empirical Evidence ◽  
Internal Control ◽  
Market Condition ◽  
Equation Modeling ◽  
Supply Chain Risk ◽  
Content Type ◽  
Management Capabilities ◽  
The Impact

Purpose Lean and agile strategies are two basic supply chain paradigms that strategist decouples based on their internal and external environment. This study aims to identify the influence of market orientation (MO) and quality management (QM) deployment on the supply chain strategies. Furthermore, this study also seeks empirical evidence of the impact of these core strategies on creating risk management capabilities. Design/methodology/approach Quantitative research technique is deployed to explain the phenomenon. The data was gathered through a structured scale questionnaire from supply chain professionals working at different manufacturing firms. Valid data of 134 respondents is then analyzed through partial least squares structural equation modeling for further empirical understanding. Findings The outcome of the research indicates that MO capability; as an external drive is a key to make an operational strategy. QM as an internal control is more prone to formulating a lean strategy (LS). Another important finding is that LS does not complement risk management capabilities especially in an uncertain market condition. Practical implications The study suggested concrete implications for risk management through the right mix of lean and agile supply chain strategies. There are some good insights for the supply chain policy-makers working in a developing country. Originality/value This study will provide empirical evidence for managing supply chain risk through an effective strategy making.

Impact of supply chain information sharing on performance of fashion enterprises

2019 ◽  
Vol 32 (6) ◽  
pp. 913-935 ◽  
Author(s):  
Caixia Chen ◽  
Tongyu Gu ◽  
Yuru Cai ◽  
Yixiong Yang
Keyword(s):  
Supply Chain ◽  
Organizational Performance ◽  
Information Sharing ◽  
Life Cycles ◽  
Equation Modeling ◽  
Content Type ◽  
Research Results ◽  
Fashion Brand ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to develop a novel research model to examine the relationship among information sharing (IS), supply chain integration (SCI), operational performance (OP) and business performance (BP) in the fashion supply chains. Design/methodology/approach A survey of 247 executives from Chinese fashion brand firms was conducted and the data were analyzed to investigate how IS affects the organizational BP. Structural equation modeling (SEM) was applied to study the relationship among IS, SCI, OP and BP. Findings The empirical research results indicate that IS is critical to enhance the SCI and OP, and both SCI and OP exert mediating effects on BP of fashion brands. This result also reveals constructive suggestions that allow fashion brands to strengthen their SCI and OP, as well as BP. Research limitations/implications Multiple data sources were applied to develop the sampling frame, and respondents were selected (according to their experience and position) to ensure they had the knowledge and expertise to provide valid response. However, this could not guarantee the adequacy of the sample. This limitation is compounded by the reliance on a simple respondent per firm, which precludes testing for inter-rater reliability. Practical implications The empirical findings provide an enhanced understanding of the relationship among IS, SCI, OP and BP in Chinese fashion brand settings. The research results will help fashion brands to improve supply chain efficiency and enhance company performance. Originality/value Although previous studies have realized that the value of IS varies in different industries, few have specifically explored the impact on the fashion industry characterized by short life cycles, high volatility, low predictability and high impulse purchasing. To fill this knowledge gap, the present study employed a questionnaire survey and SEM techniques to explore the relationship among IS, SCI, OP and BP in the fashion supply chain. Comprehending the impact mechanism of IS on organizational performance can provide useful management insights into the development of effective strategies that allow enterprise to improve BP.

Perceived credibility of online hotel reviews and its impact on hotel booking intentions

2019 ◽  
Vol 31 (9) ◽  
pp. 3465-3483 ◽  
Author(s):  
Uttam Chakraborty
Keyword(s):  
Structural Equation ◽  
Positive Impact ◽  
Online Reviews ◽  
Equation Modeling ◽  
Measurement Scales ◽  
Content Type ◽  
Perceived Credibility ◽  
Booking Intentions ◽  
Hotel Booking ◽  
The Impact

Purpose This study aims to evaluate the vitality of source, receiver and message factors on credibility assessment of online hotel reviews. Further, the current study determines the effects of perceived credibility of online reviews (PCOR) on hotel booking intentions (HBI). Design/methodology/approach The current study performs reliability analysis to determine the internal consistency of the measurement scales and to ensure the uni-dimensionality of the measurement scales the present study performs exploratory factor analysis. Further, the present study performs structural equation modeling to identify the relationships between the variables. Findings Two-sided online reviews have a more significant positive impact on PCOR as compared to the effects of receiver, review quality, review consistency and negative-sided online reviews. Originality/value This is one of the first study that analyses the impact of source, receiver and message on PCOR. Moreover, the present study offered theoretical justification behind the factors that affect the authenticity of online hotel reviews and its effects on HBI.

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