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1 – 10 of 17Clinton T. Purtell, Ila Manuj, Terrance L. Pohlen, Vipul Garg, Jamie Porchia and Michael James Hill
This paper investigates the integration of middle mile drones (MMD) into logistics operations, addressing two key questions: (1) What are the drivers, financial implications and…
Abstract
Purpose
This paper investigates the integration of middle mile drones (MMD) into logistics operations, addressing two key questions: (1) What are the drivers, financial implications and upcoming innovations associated with integrating drones into MM logistics? and (2) What challenges need to be overcome for successful implementation of drones in MM logistics?
Design/methodology/approach
The study combines expertise from an industry professional with over ten years of experience in drone operations and logistics applications, along with insights gained from discussions with 33 industry executives.
Findings
The research identifies several unique advantages of integrating drones into MM logistics, including their potential to improve operational efficiency in challenging environments. However, significant challenges related to scalability, evolving airframe designs and operational constraints remain. Early-stage use cases demonstrate the viability of MMD technologies in lower-risk logistics environments, but broader implementation requires overcoming the identified challenges.
Research limitations/implications
As MMD logistics is a nascent field, the study is exploratory and based on early-stage use cases and expert discussions. The limited scope of practical implementations may restrict the generalizability of the findings. Future research should focus on larger-scale operations and empirical studies of MMD integration in diverse logistics contexts.
Practical implications
The findings offer valuable insights for practitioners related to the costs, benefits and challenges of integrating drones into logistics operations and for policymakers related to societal implications, workforce development, privacy and safety concerns, and environmental impact.
Originality/value
This paper contributes to the evolving understanding of drone applications in MM logistics by presenting early use cases and identifying both challenges and opportunities for MMD technology and offers a foundation for future research and practice in this emerging domain.
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Suman Niranjan, Vipul Garg, David Marius Gligor and Timothy G. Hawkins
This study aims to investigate the impact of sustainable supply chain practices on sustainability performance in North American and Canadian firms in a business-to-business (B2B…
Abstract
Purpose
This study aims to investigate the impact of sustainable supply chain practices on sustainability performance in North American and Canadian firms in a business-to-business (B2B) context, specifically focusing on the mediating role of emerging technologies. It aims to deepen the understanding of this complex relationship, contributing to both theoretical knowledge and practical applications.
Design/methodology/approach
This study collected data from supply chain managers in the USA and Canada using a mixed-methods approach that includes partial least squares structural equation modeling (PLS-SEM), necessary condition analysis (NCA) and importance-performance map analysis (IPMA). PLS-SEM was utilized to model the relationships between sustainable practices, emerging technologies and sustainability performance. NCA identified the essential conditions required for sustainability performance, while IPMA was used to assess the importance and performance of different constructs, helping to pinpoint areas where the managerial focus can yield the most significant improvements.
Findings
This study reveals that sustainable supply chain practices (SSCP) alone do not directly lead to enhanced sustainability performance. SSCP includes product design, procurement, investment recovery and social sustainability. Sustainability performance includes economic, environmental and social performance. Instead, adopting specific emerging technologies, particularly artificial intelligence, wearable devices and virtual reality, is crucial. A significant threshold identified is these technologies’ 80% adoption rate for substantial performance improvements. Furthermore, this study distinguishes the varying impacts of different technologies on economic, social and environmental aspects of sustainability.
Originality/value
This research offers new insights by showing that emerging technologies fully mediate the relationship between SSCP and performance. It expands on existing literature by detailing the specific impacts of various technologies, moving beyond the generalized approach seen in prior research. Specific impacts of emerging digital technologies on SSCP and performance remain underexplored in a B2B environment, and this research aims to address this gap.
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Kiran Patil, Vipul Garg, Janeth Gabaldon, Himali Patil, Suman Niranjan and Timothy Hawkins
This paper aims to examine how interfirm transactional and relational assets drive firm performance (FP) in digitally integrated supply chains.
Abstract
Purpose
This paper aims to examine how interfirm transactional and relational assets drive firm performance (FP) in digitally integrated supply chains.
Design/methodology/approach
The authors combine the Transaction Cost Economics (TCE) and Relational Exchange Theory (RET) frameworks to hypothesize that FP will be a function of Asset Specificity (AS), Digital Technology Usage (DTU) and Collaborative Information Sharing (CIS). In addition, the authors hypothesize that Supply Chain Integration (SCI) will partially mediate the effect of DTU and fully mediate the impact of AS and CIS on FP. A cross-sectional survey of supply chain managers is used to test the hypotheses.
Findings
Findings indicate that specific investments in digitally integrated supply chains would increase FP. In addition, SCI fully mediates the relationships between AS and FP and CIS and FP, while SCI partially mediates the influence of DTU on FP.
Practical implications
Managers could strategically engage in the technologies that effectively fit within the firm’s supply chain strategies and seek to develop a pragmatic expertise that enables the effective use of technology in a comprehensive setting.
Originality/value
The study enriches the extant literature by incorporating TCE and RET as contradictory viewpoints on AS and investigating how transactional and relational assets affect FP in digitally integrated supply chains.
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David Marius Gligor, Ismail Golgeci, Carla Rego, Ivan Russo, Sıddık Bozkurt, Terrance Pohlen, Brian Hiatt and Vipul Garg
The purpose of this paper is to build on recent efforts occurring within business-to-business (B2B) marketing research to advance methodological developments. As phenomena within…
Abstract
Purpose
The purpose of this paper is to build on recent efforts occurring within business-to-business (B2B) marketing research to advance methodological developments. As phenomena within B2B relationships have become increasingly complex, marketing scholars have begun to point out the limitations associated with correlation-based methodological approaches and highlight the need for new developments in this area. One such development is the fuzzy set qualitative comparative analysis (fsQCA).
Design/methodology/approach
This study uses a literature review to examine the use of fsQCA in B2B marketing research.
Findings
First, the current manuscript presents the benefits that the application of fsQCA can offer to market researchers investigating B2B phenomena. Second, the paper presents the current state of fsQCA use within B2B marketing. Third, it suggests possible marketing B2B research topics that can be explored using fsQCA.
Originality/value
The study highlights the benefits of fsQCA, presents the current state of fsQCA use within B2B marketing and offers a rich future research agenda for B2B marketing scholars. This agenda can also help spur additional method developments in the discipline.
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Mohamed Abdel Basset, Mai Mohamed, Arun Kumar Sangaiah and Vipul Jain
Strategic planning is an organization’s process of describing its strategy, or direction, and making decisions on allocating its resources to track this strategy. SWOT analysis is…
Abstract
Purpose
Strategic planning is an organization’s process of describing its strategy, or direction, and making decisions on allocating its resources to track this strategy. SWOT analysis is one of the most commonly used techniques for strategic planning. SWOT examines the strengths (S) and weaknesses (W) agents of the community together with opportunities (O) and threats (T), for selecting and implementing the best strategy which helps in achieving its goals. The purpose of this paper is to enhance the performance of SWOT analysis regarding the quantitative side of strategies, select the best strategy from different strategies and deal effectively with vague and incompatible information, which occurs usually in actual life.
Design/methodology/approach
This study used the neutrosophic analytic hierarchy process (AHP) incorporated with SWOT analysis.
Findings
By adding the neutrosophic AHP to SWOT analysis, the performance of SWOT analysis is enhanced through determining the quantitative values and dealing with vague and inconsistent information effectively leading to improved decisions.
Research limitations/implications
The developed integrated methodology is validated in a real-life case of Starbucks company. For the case study of Starbucks company, the proposed model helps in determining different strategic plans and, further, ranking these plans effectively, which will help the company to compete with its competitors and develop itself by obtaining a competitive advantage over its competitors in an uncertain business environment.
Practical implications
In the case study of Starbucks company, the proposed model helps to determine the different strategic plans, rank these plans which help the company compete with its competitors, develop itself and grow.
Originality/value
This research is the first to address SWOT analysis with neutrosophic AHP.
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Naser Pourazad, Lara Stocchi and Vipul Pare
The purpose of this study is to determine if brand passion shapes attitudinal brand loyalty while driving a series of important brand-related outcomes (i.e. brand advocacy, social…
Abstract
Purpose
The purpose of this study is to determine if brand passion shapes attitudinal brand loyalty while driving a series of important brand-related outcomes (i.e. brand advocacy, social media following, sense of community, willingness to pay a premium price and alternative devaluation). These aspects are explored for sports apparel brands after considering the perceptions of Iranian consumers.
Design/methodology/approach
This study is based on the analysis of survey data gathered online and face-to-face from a sample of Iranian consumers of sports apparel brands that were analysed using partial least square path modelling.
Findings
The key empirical findings obtained confirm that brand passion underpins attitudinal brand loyalty and several important brand-related outcomes. Furthermore, the findings show that attitudinal brand loyalty explains the impact of brand passion on most of the outcomes considered, except for social media following.
Research limitations/implications
This study advances knowledge of brand passion by illustrating its “power” as a strong nuance of relationships between consumers and brands. In particular, this study highlights the importance of brand passion in shaping attitudinal brand loyalty, as well as a driver of several outcomes of theoretical and managerial relevance.
Practical implications
By establishing strategies aimed at enhancing brand passion, brand managers can increase attitudinal brand loyalty, attain important goals such as brand advocacy, premium price and social media following, as well as the devaluation of competing brands.
Originality/value
This study uses a unidimensional theorisation of brand passion to increase the understanding of its role as predictor of attitudinal brand loyalty and driver of relevant outcomes. It also examines the mediating effect of attitudinal brand loyalty, thus illustrating important conceptual links between brand passion and brand loyalty in the context of sports apparel brands in a growing economy (Iran).
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Vipul V. Patel, Richa Pandit and Ramzan Sama
The primary purpose of this study is to examine the relationship between conumers' emotional attachment towards fashion apps and positive behavioral outcomes, such as e-WoM and…
Abstract
Purpose
The primary purpose of this study is to examine the relationship between conumers' emotional attachment towards fashion apps and positive behavioral outcomes, such as e-WoM and repurchase intention. The study also aims to explore how e-servicescape, customer experience and perceived value of online shopping influence this relationships.
Design/methodology/approach
The study has used quantitative research methods to collect data from a sample of 484 consumers who had previous experience of purchasing using fashion apps. Data were collected from university students enrolled in university in Gujarat, India using an online self-administered questionnaire. The data are analyzed using structure equation modeling to determine the relationships between the variables under investigation.
Findings
The results demonstrate relationships between e-servicescape, customer experience and perceived value of online shopping, emotional attachment and the two consumer outcomes: repurchase intention and e-WoM. The study found support for hypotheses 1, 2 and 3, highlighting the influence of e-servicescape, customer experience and perceived value of online shopping in developing emotional attachment with fashion apps. The study also confirmed hypotheses 5 and 6, which suggest that consumers who have a stronger emotional attachment to fashion apps are more likely to intend to repurchase fashion products and engage in positive electronic word-of-mouth behavior for fashion brands.
Originality/value
In today's digital age, fashion apps are vital for fashion retailers to remain competitive and offer their customers a smooth and immersive shopping experience . Given the potential impact of fashion apps on the customer behavior, it is essential to investigate the relationship relationships between e-servicescape, customer experience and perceived value of online shopping, emotional attachment and the two consumer outcomes: repurchase intention and e-WoM in the context of fashion apps. The findings of the study are expected to contribute to the understanding of consumer behavior in the context of fashion apps and e-commerce more broadly. The results may also provide insights into how fashion retailers can improve their online presence and customer experiences to increase emotional attachment and positive behavioral outcomes.
Practical implications
The results of this study have several implications for online retail managers and fashion app developers. The study provides strong support for the idea that the extent to which online customers feel emotionally attached to fashion apps is strongly related to their e-WoM and repurchase intention. Moreover, the results of the study suggest that online retailers who are looking to cultivate emotional connections with consumers through fashion apps should prioritize three key areas: e-servicescape, customer experience and perceived value of online shopping.
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Kithsiri Samarakoon and Rudra P. Pradhan
This study investigates the mispricing dynamics of NIFTY 50 Index futures, drawing upon daily data spanning from January 2008 to July 2023.
Abstract
Purpose
This study investigates the mispricing dynamics of NIFTY 50 Index futures, drawing upon daily data spanning from January 2008 to July 2023.
Design/methodology/approach
The study employs both a single regime analysis and a tri-regime model to understand the fluctuations in NIFTY 50 Index futures mispricing.
Findings
The study reveals a complex interplay between various market factors and mispricing, including forward-looking volatility (measured by the NIFVIX index), changes in open interest, underlying index return, futures volume, index volume and time to maturity. Additionally, the relationships are regime-dependent, specifically identifying the regime-dependent nature of the relationship between forward-looking volatility and mispricing, the impact of futures volume on mispricing, the effect of open interest on mispricing, the varying influence of index volume and the influence of time to maturity across the three distinct regimes.
Practical implications
These findings offer valuable insights for policymakers and investors by providing a detailed understanding of futures market efficiency and potential arbitrage opportunities. The study emphasizes the importance of understanding market dynamics, transaction costs and timing, offering guidance to enhance market efficiency and capitalize on trading opportunities in the evolving Indian derivatives market.
Originality/value
The Vector Autoregression (VAR) and Threshold Vector Autoregression Regression (TVAR) models are deployed to disentangle the interrelationships between NIFTY 50 Index futures mispricing and related endogenous determinants.
Research highlights
This study investigates the Nifty 50 Index futures mispricing across three distinct market regimes.
We highlight how factors like volatility, futures volume, and open interest vary in their impact.
The study employs vector auto-regressive and threshold vector auto-regressive models to explore the complex relationships influencing mispricing.
We provide valuable insights for investors and policymakers on improving market efficiency and identifying potential arbitrage opportunities.
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Gunjan Soni, Surya Prakash, Himanshu Kumar, Surya Prakash Singh, Vipul Jain and Sukhdeep Singh Dhami
The Indian marble and stone industry has got the potential to contribute well to the development of the emerging economy. However, unlike the other Indian industries, stone and…
Abstract
Purpose
The Indian marble and stone industry has got the potential to contribute well to the development of the emerging economy. However, unlike the other Indian industries, stone and marble industries are highly underrated sectors, which may become a critical factor for development. This paper analyses the sustainability factors in supply chain management practices.
Design/methodology/approach
A literature review is used to identify the barriers and drivers in sustainable supply chain management practices. Interpretive structural modeling has been used to obtain a hierarchy of barriers and drivers along with driving power and dependence power analysis. Further, MICMAC analysis is used for segregating the barriers and drivers in terms of their impact on sustainability.
Findings
The findings of the work of this research are that the attention of society, government, and commercial banks should be more toward the unorganized condition of stone and marble sector. There should be an increase in the commitment of stakeholders to reduce pollution and install safety, by enforcing more relevant laws and regulations and creating the importance of environmental awareness.
Originality/value
The main contribution of this research is to identify the barriers and drivers of sustainable supply chain management in a stone and marble industry. The paper proposes a sound mathematical model to prioritize the critical factors for responsible production and consumption of resources from sustainability perspectives of stone industry.
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Sameer Kumar, Yogesh Marawar, Gunjan Soni, Vipul Jain, Anand Gurumurthy and Rambabu Kodali
Lean manufacturing (LM) is prevalent in the manufacturing industry; thus, focusing on fast and accurate lean tool implementation is the new paradigm in manufacturing. Value stream…
Abstract
Purpose
Lean manufacturing (LM) is prevalent in the manufacturing industry; thus, focusing on fast and accurate lean tool implementation is the new paradigm in manufacturing. Value stream mapping (VSM) is one of the many LM tools. It is understood that combining LM implementation with VSM tools can generate better outcomes. This paper aims to develop an expert system for optimal sequencing of VSM tools for lean implementation.
Design/methodology/approach
A proposed artificial neural network (ANN) model is based on the analytic network process (ANP) devised for this study. It will facilitate the selection of VSM tools in an optimal sequence.
Findings
Considering different types of wastes and their level of occurrence, organizations need a set of specific tools that will be effective in the elimination of these wastes. The developed ANP model computes a level of interrelation between wastes and VSM tools. The ANN is designed and trained by data obtained from numerous case studies, so it can predict the accurate sequence of VSM tools for any new case data set.
Originality/value
The design and use of the ANN model provide an integrated result of both empirical and practical cases, which is more accurate because all viable aspects are then considered. The proposed modeling approach is validated through implementation in an automobile manufacturing company. It has resulted in benefits, namely, reduction in bias, time required, effort required and complexity of the decision process. More importantly, according to all performance criteria and subcriteria, the main goal of this research was satisfied by increasing the accuracy of selecting the appropriate VSM tools and their optimal sequence for lean implementation.
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