Prateek Kumar Tripathi, Chandra Kant Singh, Rakesh Singh and Arun Kumar Deshmukh
In a volatile agricultural postharvest market, producers require more personalized information about market dynamics for informed decisions on the marketed surplus. However, this…
Abstract
Purpose
In a volatile agricultural postharvest market, producers require more personalized information about market dynamics for informed decisions on the marketed surplus. However, this adaptive strategy fails to benefit them if the selection of a computational price predictive model to disseminate information on the market outlook is not efficient, and the associated risk of perishability, and storage cost factor are not assumed against the seemingly favourable market behaviour. Consequently, the decision of whether to store or sell at the time of crop harvest is a perennial dilemma to solve. With the intent of addressing this challenge for agricultural producers, the study is focused on designing an agricultural decision support system (ADSS) to suggest a favourable marketing strategy to crop producers.
Design/methodology/approach
The present study is guided by an eclectic theoretical perspective from supply chain literature that included agency theory, transaction cost theory, organizational information processing theory and opportunity cost theory in revenue risk management. The paper models a structured iterative algorithmic framework that leverages the forecasting capacity of different time series and machine learning models, considering the effect of influencing factors on agricultural price movement for better forecasting predictability against market variability or dynamics. It also attempts to formulate an integrated risk management framework for effective sales planning decisions that factors in the associated costs of storage, rental and physical loss until the surplus is held for expected returns.
Findings
Empirical demonstration of the model was simulated on the dynamic markets of tomatoes, onions and potatoes in a north Indian region. The study results endorse that farmer-centric post-harvest information intelligence assists crop producers in the strategic sales planning of their produce, and also vigorously promotes that the effectiveness of decision making is contingent upon the selection of the best predictive model for every future market event.
Practical implications
As a policy implication, the proposed ADSS addresses the pressing need for a robust marketing support system for the socio-economic welfare of farming communities grappling with distress sales, and low remunerative returns.
Originality/value
Based on the extant literature studied, there is no such study that pays personalized attention to agricultural producers, enabling them to make a profitable sales decision against the volatile post-harvest market scenario. The present research is an attempt to fill that gap with the scope of addressing crop producer's ubiquitous dilemma of whether to sell or store at the time of harvesting. Besides, an eclectic and iterative style of predictive modelling has also a limited implication in the agricultural supply chain based on the literature; however, it is found to be a more efficient practice to function in a dynamic market outlook.
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Arun Kumar Deshmukh and Ashutosh Mohan
The study aims to present demand chain management (DCM) modeling of Indian apparel retailers. This will result in a structured model presenting contextual interrelationship among…
Abstract
Purpose
The study aims to present demand chain management (DCM) modeling of Indian apparel retailers. This will result in a structured model presenting contextual interrelationship among DCM variables so that retailers can proactively manage their demand chain.
Design/methodology/approach
The research follows an exploratory research design. It initially involves identification and analysis of influential factors of the implementation of DCM practices through the review of literature. Then, these variables were analyzed using total interpretive structural modeling or TISM followed by a statistical verification and case-based validation of the model.
Findings
The major findings of the paper are: top-management commitment and support, information management and supply chain agility in supply chain are the most significant enablers with the highest driving power. The other apparel retail specific significant variables are assortment planning, category management and marketing orientation. The model also indicates that the firms that implement customer-centric DCM practices do well in terms of organizational performance and thereby achieve differential advantage over their competitors.
Research limitations/implications
Because the literature on DCM is still in nascent stage, the study bases itself on interpretive method; that is, TISM of analysis with a limited number of experts. Future studies may consider larger sample with more advanced statistical tools such as structural equation modeling for further validation of the findings.
Originality/value
The novelty of the paper lies in the study of an emerging supply chain philosophy; that is, DCM and its key practices per se. It has rarely been studied from the theory building perspective hitherto. Moreover, TISM-based approach is applied for the first time to study the DCM practices and its drivers vis-à-vis dependents.
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Deepak Jaiswal, Vikrant Kaushal, Arun Kumar Deshmukh, Rishi Kant and Pradeep Kautish
The study aims to investigate the consumers' adoption of battery electric vehicles (BEVs) using socio-cognitive perceptions and socio-demographic moderators in an emerging…
Abstract
Purpose
The study aims to investigate the consumers' adoption of battery electric vehicles (BEVs) using socio-cognitive perceptions and socio-demographic moderators in an emerging sustainable mobility market.
Design/methodology/approach
The conceptual model is analyzed via path analysis using online survey data collected from Indian respondents.
Findings
The findings substantiate to a greater extent the linkage of social-cognitive perceptions-attitude-intention with the moderation of socio-demographic variables and mediation of attitude towards BEV.
Research limitations/implications
The study advocates several interesting theoretical and policy implications offering guidance to academics, policymakers and corporate professionals to encourage the adoption of BEVs in the milieu of the budding transportation industry.
Originality/value
The study is built upon a social-psychological linkage framework of ‘perceptions-attitude-intention’. Previous studies have overlooked the impact of social-psychological attributes and the socio-demographic moderators in envisaging the adoption of BEV, which largely remained understudied in the Indian backdrop.
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Praveen Kulkarni, Arun Kumar, Ganesh Chate and Padma Dandannavar
This study aims to examine factors that determine the adoption of additive manufacturing by small- and medium-sized industries. It provides insights with regard to benefits…
Abstract
Purpose
This study aims to examine factors that determine the adoption of additive manufacturing by small- and medium-sized industries. It provides insights with regard to benefits, challenges and business factors that influence small- and medium-sized industries when adopting this technology. The study also aims to expand the domain of additive manufacturing by including a broader range of challenges and benefits of additive manufacturing in literature.
Design/methodology/approach
Using data collected from 175 small- and medium-sized industries, the study has examined through Mann–Whitney test to understand the difference between owners and design engineers on additive manufacturing technology adoption in small- and medium-sized companies.
Findings
This study suggests contribution to academic discussion by providing associated factors that have significant impact on the adoption of additive manufacturing technology. Related advantages of additive manufacturing are reduction in inventory cost, lowering the wastage in production and customization of products. The study also indicates that factors such as cost of machinery, higher level of cost in integrating metal components have a negative impact on the adoption of this technology in small- and medium-sized industries.
Research limitations/implications
Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further in the field of challenges and growth in other areas of application of additive manufacturing, for instance, medical sciences, fabric and aerospace.
Practical implications
The study provides important implications that are of interest for both research and practitioners, related to technology management in small- and medium-sized industries, e.g. foundry and machining industries.
Social implications
This work/study fulfills an identified need of the small- and medium-sized companies in adopting new technologies and contribute to their growth by understanding the need to accept and implement technology.
Originality/value
This paper fulfills an identified need to study how small- and medium-scale companies accept new technologies and factors associated with implementation in the manufacturing process of the organization.
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James Dominic and Arun Kumar Gopalaswamy
This paper aims to analyse the effect of the investment duration, the overall market condition and the industry to which the investee firm belongs on exit returns realised by…
Abstract
Purpose
This paper aims to analyse the effect of the investment duration, the overall market condition and the industry to which the investee firm belongs on exit returns realised by venture capital (VC) firms invested in Indian market, using hierarchical regression models.
Design/methodology/approach
The study examines the relationship that exist among the variables of interest by analysing all the 210 exits that happened in the Indian VC market over the period 2004–2017 by using analytical tools such as moving averages, hierarchical regressions and pooled ordinary least squares regression.
Findings
Exit return has an approximate U-shaped relationship with investment duration, and the turning point in the convex relationship happens around seven to eight years after investment. Returns are weakly related to the market condition, discarding the market timing hypothesis. Relationship patterns are found to be generally unvarying during the time period under study.
Research limitations/implications
The results indicate VC funds in the Indian market tend to exit in a brief time span and gain substantial returns from the immediate exits beyond, which returns start dipping. This points to the illiquidity of the Indian VC market wherein the exits from “lemons” are quite tricky, which make them remain invested for longer durations and eroding the value substantially in the process. VC funds may make rational investment/exit decisions in the Indian market capitalising this knowledge.
Originality/value
This study empirically connects the value creating factors in a VC process to the established theories about the early stage investments and analyse the applicability and relevance of those theories in a market with high growth potential like India.
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Rupinder Singh, Gurwinder Singh and Arun Anand
The purpose of this paper is to design and manufacture an intelligent 3D printed sensor to monitor the re-occurrence of diaphragmatic hernia (DH; after surgery) in bovines as an…
Abstract
Purpose
The purpose of this paper is to design and manufacture an intelligent 3D printed sensor to monitor the re-occurrence of diaphragmatic hernia (DH; after surgery) in bovines as an Internet of Things (IOT)-based solution.
Design/methodology/approach
The approach used in this study is based on a bibliographic analysis for the re-occurrence of DH in the bovine after surgery. Using SolidWorks and ANSYS, the computer-aided design model of the implant was 3D printed based on literature and discussions on surgical techniques with a veterinarian. To ensure the error-proof design, load test and strain–stress rate analyses with boundary distortion have been carried out for the implant sub-assembly.
Findings
An innovative IOT-based additive manufacturing solution has been presented for the construction of a mesh-type sensor (for the health monitoring of bovine after surgery).
Originality/value
An innovative mesh-type sensor has been fabricated by integration of metal and polymer 3D printing (comprising 17–4 precipitate hardened stainless steel and polyvinylidene fluoride-hydroxyapatite-chitosan) without sacrificing strength and specific absorption ratio value.
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Arun Kumar Kaushik and Zillur Rahman
This paper aims to offer and examine a conceptual model of tourist innovativeness toward self-service technologies (SSTs) to confirm whether tourists prefer service delivery by…
Abstract
Purpose
This paper aims to offer and examine a conceptual model of tourist innovativeness toward self-service technologies (SSTs) to confirm whether tourists prefer service delivery by SSTs over employees in an offline hospitality environment.
Design/methodology/approach
Tourists’ perceived usefulness (PU) of SSTs and need for interaction (NI) with service employees have been taken as crucial mediating variables to examine the effects of perceived ease of use and technology readiness index personality dimensions toward SST and employee-based service adoption.
Findings
Findings reveal that both “NI” and “PU” play significant roles in Technology Readiness and Acceptance Model (TRAM) when tourists select one of two service delivery options – SSTs and service employees.
Research limitations/implications
The foremost limitation of the study is its dependence on domestic tourist samples. However, such samples were chosen because tourists comprising these samples tend to use similar service delivery options more, in turn increasing their use of SSTs available in sample hotels.
Practical implications
The study gives a deeper understanding of TRAM with an extremely crucial mediating variable (NI) in an offline service context. It also provides useful insights to service providers and policy makers for developing new strategies and policies to enhance user experience.
Social implications
This study recommends the usage of numerous SSTs by tourists.
Originality/value
During extensive literature review carried out in this research, no study was found that proposed such an effective framework in an offline service context.
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Aswathy Sreenivasan, Bhavin Shah and M. Suresh
In developing countries such as India, start-ups play an essential role in “industrial output,” “Gross Domestic Product ” and “employment creation.” Evidence suggests that…
Abstract
Purpose
In developing countries such as India, start-ups play an essential role in “industrial output,” “Gross Domestic Product ” and “employment creation.” Evidence suggests that pandemics have risen over the last century due to rising global travel and assimilation, urbanization, alterations in land use, and significantly larger exploitation of the natural environment. These trends are likely to continue and intensify. These pandemic episodes affect businesses, especially start-ups. Supplier selection is among the vital critical elements that start-ups must include in start-ups' strategy procedures during the pandemic episodes. This study's focus is to “identify,” “analyze,” and “categorize” the factors affecting supplier selection in start-ups during frequent pandemic episodes like coronavirus disease 2019 (COVID-19).
Design/methodology/approach
Through “literature review” and “experts' opinion” from various start-ups in India, ten affecting factors were identified. Total Interpretative Structural Modeling (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) were employed to analyze the interrelationship among the factors affecting the supplier selection on start-ups during frequent pandemic episodes, and these factors were ranked as “autonomous,” “independent,” “linkage,” and “dependent” factors.
Findings
The findings show that “performance history,” “service levels,” “technical capability,” and “financial stability” are the most critical factors affecting the supplier selection on start-ups during frequent pandemic episodes. The next importance should be safety and environmental concern” and “quality.”
Research limitations/implications
The factors affecting supplier selection on start-ups during frequent pandemic episodes are the current focus of this study. This study is mainly performed on Indian start-ups and can be extended to other countries.
Practical implications
The start-ups can rely on this study to clearly understand the factors affecting the supplier selection on start-ups during frequent pandemic episodes.
Originality/value
There is no research regarding factors affecting supplier selection on start-ups during the COVID-19 emergencies. This research gap is filled by analyzing aspects linked to supplier selection in start-ups. This gap inspired the present study, which employs the “Total Interpretive Structural Modeling (TISM)” technique to uncover supplier selection determinants and investigate hierarchical interconnections among factors influencing/affecting supplier selection in start-ups during frequent pandemic episodes.
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Jitesh Thakkar, Arun Kanda and S.G. Deshmukh
The purpose of this paper is to review the literature on supply chain management (SCM) practices in small and medium scale enterprises (SMEs) and outlines the key insights.
Abstract
Purpose
The purpose of this paper is to review the literature on supply chain management (SCM) practices in small and medium scale enterprises (SMEs) and outlines the key insights.
Design/methodology/approach
The paper describes a literature‐based research that has sought understand the issues of SCM for SMEs. The methodology is based on critical review of 77 research papers from high‐quality, international refereed journals. Mainly, issues are explored under three categories – supply chain integration, strategy and planning and implementation. This has supported the development of key constructs and propositions.
Findings
The research outcomes are three fold. Firstly, paper summarizes the reported literature and classifies it based on their nature of work and contributions. Second, paper demonstrates the overall approach towards the development of constructs, research questions, and investigative questions leading to key proposition for the further research. Lastly, paper outlines the key findings and insights gained.
Practical implications
Survival of SMEs will be determined first and foremost by their ability to provide/produce more, at less cost, in less time, with few “defects”. The key to this is effective SCM. The issue is much explored in the context of large enterprises but less attention is paid to SMEs. Paper aims to surface out some facts for the same. Originality/value The paper reports‐classifies the literature and development of construct and propositions.