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1 – 10 of 690
Article
Publication date: 15 June 2023

Imran Ali, Mohamed Aboelmaged, Kannan Govindan and Mohsin Malik

Research on the Internet of Things (IoT) has gained momentum in various industry contexts. However, the literature lacks broad empirical evidence on the factors that influence…

Abstract

Purpose

Research on the Internet of Things (IoT) has gained momentum in various industry contexts. However, the literature lacks broad empirical evidence on the factors that influence users' intention to adopt this cutting-edge technology, especially in the food and beverage industry (F&BI) – a significant yet unexplored setting. Therefore, the authors aim to extend the “Unified Theory of Acceptance and Use of Technology (UTAUT)” model by coupling it with perceived collaborative advantage, organizational inertia and perceived cost and explore the key determinants of IoT adoption for the digital transformation of the F&BI.

Design/methodology/approach

This study employs a cross-sectional quantitative approach, where a sample of 307 usable responses was drawn from the senior managers of the Australian F&BI.

Findings

The authors have found that performance expectancy, perceived collaborative advantage, effort expectancy, social influence and facilitating conditions have a strong positive influence on the behavioural intention to adopt IoT for the digital transformation of the F&BI. Furthermore, while high perceived costs and organizational inertia are often considered negative factors in adopting new technology, our results reveal the insignificant influence of these factors on the adoption of IoT, which is interesting. The findings also suggest that age and voluntariness significantly moderate most of the relationships, while gender is an insignificant moderator.

Originality/value

The study provides several novel insights into the existing body of knowledge by extending the UTAUT model with three variables and applying it in a unique context.

Details

Industrial Management & Data Systems, vol. 123 no. 7
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 13 March 2024

Nan Chen, Jianfeng Cai, Devika Kannan and Kannan Govindan

The rapid development of the Internet has led to an increasingly significant role for E-commerce business. This study examines how the green supply chain (GSC) operates on the…

Abstract

Purpose

The rapid development of the Internet has led to an increasingly significant role for E-commerce business. This study examines how the green supply chain (GSC) operates on the E-commerce online channel (resell mode and agency mode) and the traditional offline channel with information sharing under demand uncertainty.

Design/methodology/approach

This study builds a multistage game model that considers the manufacturer selling green products through different channels. On the traditional offline channel, the competing retailers decide whether to share demand signals. Regarding the resale mode of E-commerce online channel, just E-tailer 1 determines whether to share information and decides the retail price. In the agency mode, the manufacturer decides the retail price directly, and E-tailer 2 sets the platform rate.

Findings

This study reveals that information accuracy is conducive to information value and profits on both channels. Interestingly, the platform fee rate in agency mode will inhibit the effect of a positive demand signal. Information sharing will cause double marginal effects, and price competition behavior will mitigate such effects. Additionally, when the platform fee rate is low, the manufacturer will select the E-commerce online channel for operation, but the retailers' profit is the highest in the traditional channel.

Originality/value

This research explores the interplay between different channel structures and information sharing in a GSC, considering price competition and demand uncertainty. Besides, we also considered what behaviors and factors will amplify or transfer the effect of double marginalization.

Details

Industrial Management & Data Systems, vol. 124 no. 4
Type: Research Article
ISSN: 0263-5577

Keywords

Content available

Abstract

Details

International Journal of Physical Distribution & Logistics Management, vol. 50 no. 1
Type: Research Article
ISSN: 0960-0035

Article
Publication date: 6 June 2016

Kannan Govindan and Madan Shankar

The purpose of this paper is to evaluate the essential barrier and reveal the priority among common barriers to offshore wind energy in an Indian context with the assistance of…

Abstract

Purpose

The purpose of this paper is to evaluate the essential barrier and reveal the priority among common barriers to offshore wind energy in an Indian context with the assistance of the proposed framework.

Design/methodology/approach

Based on the proposed framework, a five-phase methodology was adapted to explore the essential barrier step by step. The common barriers, which were collected from the existing literatures through a systematic review, were further validated by field experts. The collected common barriers were evaluated with the assistance of the case industry’s field professionals through an analytical hierarchy process, a multi-criteria decision-making tool, to evaluate the barriers to Indian offshore wind energy.

Findings

Among the 12 common barriers to offshore wind energy, it is clear that “high capital cost” is the most essential barrier involved in the implementation of offshore wind energy farms in the Indian context.

Practical implications

This study reveals the importance of offshore wind power as a long-term profitable strategy to the case company within the Indian context. By addressing the essential barriers to the implementation of offshore wind farms, the Indian offshore wind system managers can train their employees to counteract the hindrances through the benchmarking of pioneering global offshore wind power developers such as Denmark and the UK. Further, this study provides useful suggestions to the Indian Government regarding policies for offshore wind energy; it also clearly projects the current status of the Indian offshore wind farm implementation.

Originality/value

This study assists Indian key stakeholders of offshore wind energy by indicating the essential barrier in an Indian context; they can remove the particular barrier instead of focusing on others that previous studies have identified. Further, this study brings out the importance of offshore wind power in an Indian context, which can urge stakeholders to invest more in offshore wind farms.

Details

International Journal of Energy Sector Management, vol. 10 no. 2
Type: Research Article
ISSN: 1750-6220

Keywords

Article
Publication date: 15 July 2022

Ruchi Mishra, Rajesh Singh and Kannan Govindan

The purpose of this study is to systematically review the state-of-art literature on the net-zero economy in the field of supply chain management.

3025

Abstract

Purpose

The purpose of this study is to systematically review the state-of-art literature on the net-zero economy in the field of supply chain management.

Design/methodology/approach

A systematic literature review of 79 articles published from 2009 to 2021 has been conducted to minimise the researchers' bias and maximise the reliability and replicability of the study.

Findings

The thematic analysis reveals that studies in the field of net-zero economy have mostly been done on decarbonisation in the supply chain, emission control and life cycle analysis and environmental and energy management. The findings highlight the strong positive association between digitalisation, circular economy and resources optimization practices with net-zero economy goals. The study also addresses the challenges linked with the net-zero economy at the firm and country levels.

Research limitations/implications

Practitioners in companies and academics might find this review valuable as this study reviews, classifies and analyses the studies, outlines the evolution of literature and offers directions for future studies using the theory, methodology and context (TMC) framework.

Originality/value

This is the first study that uses a structured approach to analyse studies done in the net-zero field by assessing publications from 2009 to 2021.

Details

The International Journal of Logistics Management, vol. 34 no. 5
Type: Research Article
ISSN: 0957-4093

Keywords

Content available
Article
Publication date: 8 May 2017

Kannan Govindan and Tsan-Ming Choi

728

Abstract

Details

Supply Chain Management: An International Journal, vol. 22 no. 3
Type: Research Article
ISSN: 1359-8546

Article
Publication date: 12 January 2023

Chunguang Bai, Kannan Govindan and Baofeng Huo

Supply chain agility (SCA) is the primary strategy for reducing impacts and quick recovery when supply chains experience a disruption risk, such as the COVID-19 pandemic. This…

Abstract

Purpose

Supply chain agility (SCA) is the primary strategy for reducing impacts and quick recovery when supply chains experience a disruption risk, such as the COVID-19 pandemic. This study will investigate how SCA can be achieved through supply chain information sharing (SCIS) under the different dependence relationships (DR) with suppliers or customers. The purpose of this paper is to investigate this issue.

Design/methodology/approach

Based on information process and resource dependency theories, this study constructs and empirically tests a proposed model of the relationships amongst the three dimensions of SCIS and the two areas of SCA and the contingency effects of two types of DR on those relationships. Using a dataset collected from 400 manufacturers in China, the authors tested this theoretical model using multi-group and structural path analysis.

Findings

The results of the structural path and multi-group analyses show that (1) all dimensions of SCIS are positively correlated with both areas of SCA and (2) dependence on the supplier and dependence on the customer have completely different impacts on the relationship between SCIS and SCA.

Originality/value

This study can improve the understanding of the multidimensional concepts of SCIS and SCA and relationships between them under two different DR conditions in the Chinese manufacturing setting. It contributes to IS and the SCA literature and provides theoretically driven and empirical explanations for the diverse dynamics between the dependence on the supplier and customer.

Details

The International Journal of Logistics Management, vol. 34 no. 6
Type: Research Article
ISSN: 0957-4093

Keywords

Article
Publication date: 8 February 2021

Nasiru Zubairu, John Dinwoodie, Kannan Govindan, Lise Hunter and Saeyeon Roh

The purpose of this study is to identify and evaluate supply chain strategies (SCSs) that drive financial performance to guide practitioners, especially in liquefied natural gas…

1100

Abstract

Purpose

The purpose of this study is to identify and evaluate supply chain strategies (SCSs) that drive financial performance to guide practitioners, especially in liquefied natural gas (LNG) networks, to review and adopt SCSs that drive competitiveness and value creation for investors.

Design/methodology/approach

Analytical hierarchy process (AHP) was deployed to prioritise SCSs according to their relative impact on financial performance in LNG networks. Interviews with experts were analysed using template analysis to establish latent drivers of financial performance specific to LNG networks.

Findings

Results support the significant role of SCSs in improving financial performance. Although findings prioritised collaborative strategy as the most important driver of financial performance in LNG networks, to fully optimise financial outcomes, all the SCSs should be implemented across LNG networks as no single strategy in isolation is a standalone driver of financial performance.

Practical implications

The AHP model provides a novel ranking for SCSs and measures to guide decision-makers. LNG practitioners may exploit the results to make informed decisions.

Originality/value

The study extends previous literature by proposing a framework and a new LNG empirical model that facilitates understanding of how SCSs contribute positively to financial performance and support practitioners in making strategic supply chain decisions.

Details

Supply Chain Management: An International Journal, vol. 26 no. 5
Type: Research Article
ISSN: 1359-8546

Keywords

Article
Publication date: 12 June 2018

Virgilija Vasiliene-Vasiliauskiene, Aidas Vasilis Vasiliauskas, Rišard Golembovskij, Ieva Meidute-Kavaliauskiene, Edmundas Kazimieras Zavadskas, Audrius Banaitis and Kannan Govindan

The purpose of this paper is to develop a better understanding of how transportation system factors affect city housing markets. The goal was to show that identifying these…

Abstract

Purpose

The purpose of this paper is to develop a better understanding of how transportation system factors affect city housing markets. The goal was to show that identifying these factors alone is not enough without also examining their effects and variations according to the housing location.

Design/methodology/approach

Transportation system factors were identified by conducting a thorough literature review. The factors’ relevance was tested using a quantitative methodology and a sample of 317 Vilnius residents. This city was next divided into three zones, and data collected from 18 real estate experts was subjected to qualitative analysis. The analytic hierarchy process was then applied to identify transportation system factors’ level of impact and dynamics by the housing location.

Findings

The results show that the factors affect the housing market in question but that these effects vary by the housing location and the most critical factors differ for each city zone.

Research limitations/implications

Only data on Vilnius were used. Further research is needed to compare transportation factors’ dynamics in multiple cities.

Practical implications

Priorities in transportation system improvements should be assessed to facilitate sustainable urban development and enhance the residents’ quality of life. Housing market regulations can only be successful if investment in transportation systems is allocated purposefully and coherently.

Originality/value

This research went beyond identifying transportation system factors by employing a broad, systematic approach to clarifying potential options for regulating housing markets through transportation system projects.

Details

Management Decision, vol. 57 no. 2
Type: Research Article
ISSN: 0025-1747

Keywords

Article
Publication date: 3 March 2022

Debapriya Banik, Niamat Ullah Ibne Hossain, Kannan Govindan, Farjana Nur and Kari Babski-Reeves

In recent times, due to rapid urbanization and the expansion of the E-commerce industry, drone delivery has become a point of interest for many researchers and industry…

Abstract

Purpose

In recent times, due to rapid urbanization and the expansion of the E-commerce industry, drone delivery has become a point of interest for many researchers and industry practitioners. Several factors are directly or indirectly responsible for adopting drone delivery, such as customer expectations, delivery urgency and flexibility to name a few. As the traditional mode of delivery has some potential drawbacks to deliver medical supplies in both rural and urban settings, unmanned aerial vehicles can be considered as an alternative to overcome the difficulties. For this reason, drones are incorporated in the healthcare supply chain to transport lifesaving essential medicine or blood within a very short time. However, since there are numerous types of drones with varying characteristics such as flight distance, payload-carrying capacity, battery power, etc., selecting an optimal drone for a particular scenario becomes a major challenge for the decision-makers. To fill this void, a decision support model has been developed to select an optimal drone for two specific scenarios related to medical supplies delivery.

Design/methodology/approach

The authors proposed a methodology that incorporates graph theory and matrix approach (GTMA) to select an optimal drone for two specific scenarios related to medical supplies delivery at (1) urban areas and (2) rural/remote areas based on a set of criteria and sub-criteria critical for successful drone implementation.

Findings

The findings of this study indicate that drones equipped with payload handling capacity and package handling flexibility get more preference in urban region scenarios. In contrast, drones with longer flight distances are prioritized most often for disaster case scenarios where the road communication system is either destroyed or inaccessible.

Research limitations/implications

The methodology formulated in this paper has implications in both academic and industrial settings. This study addresses critical gaps in the existing literature by formulating a mathematical model to find the most suitable drone for a specific scenario based on its criteria and sub-criteria rather than considering a fleet of drones is always at one's disposal.

Practical implications

This research will serve as a guideline for the practitioners to select the optimal drone in different scenarios related to medical supplies delivery.

Social implications

The proposed methodology incorporates GTMA to assist decision-makers in order to appropriately choose a particular drone based on its characteristics crucial for that scenario.

Originality/value

This research will serve as a guideline for the practitioners to select the optimal drone in different scenarios related to medical supplies delivery.

Details

The International Journal of Logistics Management, vol. 34 no. 2
Type: Research Article
ISSN: 0957-4093

Keywords

1 – 10 of 690