Template-Type: ReDIF-Article 1.0 Author-Name: Santhosh Kumar Arjunan Author-X-Name-First: Santhosh Kumar Author-X-Name-Last: Arjunan Author-Name: Punniyamoorthy Murugesan Author-X-Name-First: Punniyamoorthy Author-X-Name-Last: Murugesan Author-Name: Ernest Johnson Author-X-Name-First: Ernest Author-X-Name-Last: Johnson Title: Opinion mining to win consumers in the e-commerce space – a case study approach Abstract: The word 'social media' where social refers to an interaction between individual or business to actively share their opinion about topics of common interests and the word media refers to the channel where this information sharing occurs. Though the age of social media was more than two decades, in recent years the traction for using this information for decision making saw a huge surge. This paper explains one of the aspects of how the opinion of the customers affects the business and how business leverages this information to make decisions. This research evaluates not only product reviews on a whole but also focused on the different aspects or features that contributed to the positive or negative reviews by using customised domain-specific libraries. Also, this paper uses a hybrid custom kernel function for opinions mining. Finally, we measured the performance of the product at two different time frames and their impact. Journal: Int. J. of Logistics Economics and Globalisation Pages: 303-318 Issue: 4 Volume: 9 Year: 2022 Keywords: opinion mining; similarity distance kernel; hybrid kernel functions; e-commerce; product reviews. File-URL: http://www.inderscience.com/link.php?id=125927 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injleg:v:9:y:2022:i:4:p:303-318 Template-Type: ReDIF-Article 1.0 Author-Name: Ziaul Haq Adnan Author-X-Name-First: Ziaul Haq Author-X-Name-Last: Adnan Author-Name: Abdul Hai Ashik Author-X-Name-First: Abdul Hai Author-X-Name-Last: Ashik Author-Name: Muntasina Rahman Author-X-Name-First: Muntasina Author-X-Name-Last: Rahman Author-Name: Sherajus Shalahin Bhuiyan Author-X-Name-First: Sherajus Shalahin Author-X-Name-Last: Bhuiyan Author-Name: Anirban Ganguly Author-X-Name-First: Anirban Author-X-Name-Last: Ganguly Title: Applying linear programming for logistics distribution of essential relief items during COVID-19 lockdown: evidence from Bangladesh Abstract: COVID-19 induced lockdowns have made it extremely difficult for the poorer section of the community to arrange sustenance items like food and medicines due to the lack of cash flow coupled with the closure of markets. Although multiple organisations took initiatives to help this vulnerable cohort by distributing essential items, they ended up either oversupplying or undersupplying at different regions due to the lack of a reference framework. Hence, the study develops a model to aid the national relief distribution process during a pandemic. This study considers the capacitated plant location model and applies the linear programming tool to formulate and solve the model. The model assigns a target and service zones, to relief organisations based on their capacity and proximity and avoid redundant relief goods to easily accessible areas. The model can be used by government, private, and non-profit alike to distribute relief during any similar future events as well. Journal: Int. J. of Logistics Economics and Globalisation Pages: 191-204 Issue: 3 Volume: 9 Year: 2022 Keywords: COVID-19; pandemic; essential items; relief distribution; capacitated plant location model; linear programming; Bangladesh. File-URL: http://www.inderscience.com/link.php?id=120808 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injleg:v:9:y:2022:i:3:p:191-204 Template-Type: ReDIF-Article 1.0 Author-Name: Jagdeep Singh Author-X-Name-First: Jagdeep Author-X-Name-Last: Singh Author-Name: Shivoham Singh Author-X-Name-First: Shivoham Author-X-Name-Last: Singh Author-Name: Mamta Kumari Author-X-Name-First: Mamta Author-X-Name-Last: Kumari Title: Impact assessment of logistics management practices on supply chain management performance in the automobile industry in India Abstract: Logistics is the core and backbone of the supply chain management (SCM) in any business. Currently, automobile and related businesses are struggling to optimise inventory and warehouse activities, error proof warehouse operations, properly optimised transport and distribution with customised vehicles, all-time damage free deliveries and real-time visibility, business processes integrations through right technology to minimise procedural wastes, and real-time information sharing across the stakeholders. The aim of the study was to understand the impacts of logistics management (LM) practices on SCM performance and the results imply that logistics management practices have high correlation and direct impact on SCM performance. The research concluded that proper use and optimisation of LM practices result improved supply chain performance which is desired for each business as it increases the overall profitability and customer satisfaction. Journal: Int. J. of Logistics Economics and Globalisation Pages: 319-338 Issue: 4 Volume: 9 Year: 2022 Keywords: logistics management; LM; supply chain management; SCM; LM practices; supply chain; supply chain management performance; SCMPer; India. File-URL: http://www.inderscience.com/link.php?id=125928 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injleg:v:9:y:2022:i:4:p:319-338 Template-Type: ReDIF-Article 1.0 Author-Name: Gautam Srivastava Author-X-Name-First: Gautam Author-X-Name-Last: Srivastava Title: A study on reviews of online grocery stores during COVID-19 pandemic using sentiment analysis Abstract: Digitalisation is playing a very crucial role in India during the COVID-19 lockdown. Grocery items are one of the essential commodities needed by the people during the lockdown. The sales of online grocery stores rose abnormally during the pandemic and stores faced a lot of problems while delivering grocery items to consumers. It becomes very difficult for them to deliver the products on time and maintain the satisfaction level of the consumes. During that time, huge online reviews were posted by consumers on different digital platforms. This study focussed on analysing those reviews and developing a supervised machine learning model. Sentiment analysis is used to develop the classification model. TF-IDF followed by naïve Bayes classification techniques is used to do the sentiment analysis. The developed model helps the online grocery stores to deal with huge online reviews and segment the consumers based on their positive and negative reviews. Journal: Int. J. of Logistics Economics and Globalisation Pages: 205-222 Issue: 3 Volume: 9 Year: 2022 Keywords: sentiment analysis; naïve Bayes classification; TF-IDF; online grocery stores; pandemic. File-URL: http://www.inderscience.com/link.php?id=120809 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injleg:v:9:y:2022:i:3:p:205-222 Template-Type: ReDIF-Article 1.0 Author-Name: Sudhanshu Joshi Author-X-Name-First: Sudhanshu Author-X-Name-Last: Joshi Author-Name: Manu Sharma Author-X-Name-First: Manu Author-X-Name-Last: Sharma Title: Prolonging retailer-supplier relationship: a study of retail firms during COVID-19 pandemic Abstract: The world is beholding new drifts in retail buying, health services, social factors during the current pandemic. Retailers and suppliers are challenged to take the risk and prepare themselves to implement strategic actions according to the dynamic environment. This study has made an effort to identify the key determinants of the retailer-supplier relationship to be focused on surviving amidst COVID-19 pandemic. This study aims to identify the key determinants of retailer-supplier relationship and assessing retail firms' supply chains appropriate as per key determinant to be intensive in a pandemic situation. The work reveals collaboration efficiency and co-creation are the prominent determinants for dealing the retailer-supplier association. The study shows that order fulfilment is the most suitable RSCs for creating co-creation and capabilities in managing humanitarian logistics to survive in the COVID-19 pandemics. Journal: Int. J. of Logistics Economics and Globalisation Pages: 223-247 Issue: 3 Volume: 9 Year: 2022 Keywords: retail-supply relationship; order fulfilment; co-creation; demand driven supply chains; COVID-19. File-URL: http://www.inderscience.com/link.php?id=120810 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injleg:v:9:y:2022:i:3:p:223-247 Template-Type: ReDIF-Article 1.0 Author-Name: Sudhanshu Joshi Author-X-Name-First: Sudhanshu Author-X-Name-Last: Joshi Author-Name: Manu Sharma Author-X-Name-First: Manu Author-X-Name-Last: Sharma Title: Impact of sustainable supply chain management on performance of SMEs amidst COVID-19 pandemic: an Indian perspective Abstract: The disruption caused by COVID-19 along the rapidly changing business environment coupled with the supply network complexity may trigger unforeseen disruptions and make supply chains vulnerable to financial losses and in extreme cases, it leads to a firm shut down. The research is an effort to introduce a conceptual model to evaluate sustainable practices and dynamic capabilities to ensure performance in a disruptive environment. Determinants were identified from the literature for the study of Sustainable practices and capabilities during disruption and uncertain business environment and are based on the concept of the triple bottom line. A research survey collected data from 153 consumer goods SMEs. structural equation modelling (SEM) has been used to analyse the structural model proposed. The analytical outcomes of this research contribute to the existing literature and enable practitioners to design and implement sustainable supply chain activities and monitor and evaluate the impact of such activities on business sustainability among Indian firms. Journal: Int. J. of Logistics Economics and Globalisation Pages: 248-276 Issue: 3 Volume: 9 Year: 2022 Keywords: firm sustainability; supply chain disruptions; developing countries; survivability; sustainable supply chain management; COVID-19; India. File-URL: http://www.inderscience.com/link.php?id=120811 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injleg:v:9:y:2022:i:3:p:248-276 Template-Type: ReDIF-Article 1.0 Author-Name: Sanjukta Chatterjee Author-X-Name-First: Sanjukta Author-X-Name-Last: Chatterjee Author-Name: Debmallya Chatterjee Author-X-Name-First: Debmallya Author-X-Name-Last: Chatterjee Title: Modelling the barriers of supply chain transparency in the post-COVID-19 scenario Abstract: Transparent supply chains have slowly gained prominence because of their utility in resolving sustainability concerns and improving operational efficiency and decision making. It requires companies to know more about their upstream chain and communicate it to their internal and external stakeholders. This in turn helps build resilience into the supply chains, making response quicker in the face of disruptive events such as the COVID-19 pandemic. Despite both the necessity and obligation, companies are struggling with implementing a transparent supply chain because of unclear reasons. In this paper, we identify and model those barriers in implementing transparent supply chains. Results suggest that customer privacy drives other barriers in the system and hence should be given adequate importance while forming the data pipeline for transparent supply chains. Vague short-term ROI, low technology adoption, and underdeveloped infrastructure also emerged as critical barriers that managers should carefully mitigate while implementing transparency in supply chains. Journal: Int. J. of Logistics Economics and Globalisation Pages: 277-301 Issue: 3 Volume: 9 Year: 2022 Keywords: COVID-19; supply chain transparency; supply chain resilience; sustainability; implementation barriers; interpretive structural modelling; ISM; MICMAC analysis. File-URL: http://www.inderscience.com/link.php?id=120812 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injleg:v:9:y:2022:i:3:p:277-301 Template-Type: ReDIF-Article 1.0 Author-Name: Binay Kumar Rajak Author-X-Name-First: Binay Kumar Author-X-Name-Last: Rajak Author-Name: Amit Upadhyay Author-X-Name-First: Amit Author-X-Name-Last: Upadhyay Title: Performance assessment of seaport container terminals of India using data envelopment analysis Abstract: This study provides a systematic investigation of the performance of India's seaport container terminals. The aim of this study is to assess the terminals' performance by evaluating their relative efficiencies using data envelopment analysis along with the window analysis for the sensitivity of the results. Our analysis identifies efficient and inefficient terminals and evaluates their efficiency over time. We find that landlord-operated terminals managed by major ports located on the western coast are better performing than private terminals managed by minor ports on the eastern coast. However, two landlord-operated terminals of major ports on the eastern coast are found to be the most efficient. Our study suggests the scope of improvement for the inefficient terminals and concludes with managerial insights for maritime transport stakeholders. Journal: Int. J. of Logistics Economics and Globalisation Pages: 339-369 Issue: 4 Volume: 9 Year: 2022 Keywords: data envelopment analysis; DEA; container terminals; seaports; efficiency; port performance; benchmarking; window analysis. File-URL: http://www.inderscience.com/link.php?id=125932 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injleg:v:9:y:2022:i:4:p:339-369 Template-Type: ReDIF-Article 1.0 Author-Name: Max Daniel Revuelta-López Author-X-Name-First: Max Daniel Author-X-Name-Last: Revuelta-López Author-Name: Andrée Marie López-Fernández Author-X-Name-First: Andrée Marie Author-X-Name-Last: López-Fernández Title: The correlation of firm and owner-operator family performance: analysis of the last-mile transport system in Mexico Abstract: In Mexico, the commercial relationship between owner-operator truck drivers and supply chains in the last-mile transport system is unbalanced; as contracting companies are favoured, transporters are disadvantaged which reduces competitiveness. Further, the impact of owner-operator truck drivers' families on company performance has been ignored. The alignment of a company's actions with owner-operator truck drivers' families' wellbeing, meaning work-family integration, implies creating an optimal environment for them to tend to their family responsibilities. The question is how does corporate family responsibility (CFR) impact owner-operator truck drivers' work-family balance and improve family performance? This empirical study shows that CFR is strongly associated with collaborators' family wellbeing, and owner-operator truck drivers' family performance correlates with the hiring firms' performance; further, the latter improves their work-family relationship and, in turn, their profitability. In other words, performance is positively impacted when all parties involved take an active role in wellbeing and productivity. The study contributes to previous literature on CFR, owner-operator truck driver and hiring company dynamics, family and firms' performance, as well as to the understanding of the implications of family performance on organisational performance. Journal: Int. J. of Logistics Economics and Globalisation Pages: 370-389 Issue: 4 Volume: 9 Year: 2022 Keywords: performance; family performance; owner-operator truck driver; work-family balance; corporate family responsibility; Mexico. File-URL: http://www.inderscience.com/link.php?id=125937 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injleg:v:9:y:2022:i:4:p:370-389