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Article
Publication date: 11 February 2021

Yash Daultani, Mohit Goswami, Ajay Kumar and Saurabh Pratap

The purpose of this paper was to examine the perceived outcomes of e-learning by identifying key attributes affecting user (learner) satisfaction in higher education institutes.

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Abstract

Purpose

The purpose of this paper was to examine the perceived outcomes of e-learning by identifying key attributes affecting user (learner) satisfaction in higher education institutes.

Design/methodology/approach

A conceptual model considering user satisfaction as a key construct was developed through critical literature review and expert opinion. The model is empirically validated using confirmatory factor analysis and structural equation model in the context of higher education institutions. A sample of 802 users comprising of engineering and management students has been used for the analysis.

Findings

Course attributes, system attributes, interactive attributes and instructor attributes were found to have an influence significantly on user satisfaction. Instructor attributes were the topmost significant contributor followed by the course attributes.

Social implications

Delivery of educational programs through e-learning platforms has increasingly gained traction throughout the world owing to its locational, time and convenience-related facets. Further, the ongoing global pandemic has catalysed acceptance of e-learning platforms thus attracting large number of learners and teachers for facilitating the teaching-learning process. This paper is a novel attempt to identify the existing gaps in teaching-learning process in the context of e-learning.

Originality/value

This study is original and provides new insights into how e-learning platforms and higher education institutions can ensure higher user satisfaction and learning in current challenging times. This paper will also be of interest to policymakers.

Details

Measuring Business Excellence, vol. 25 no. 2
Type: Research Article
ISSN: 1368-3047

Keywords

Article
Publication date: 5 September 2018

Mohit Goswami and Gopal Kumar

This paper aims to analyze the agile manufacturing practices in small and medium enterprises (SMEs) within the auto-ancillary sector spread across eastern India. Using…

Abstract

Purpose

This paper aims to analyze the agile manufacturing practices in small and medium enterprises (SMEs) within the auto-ancillary sector spread across eastern India. Using statistical method, a number of crucial insights have been captured and discussed in detail.

Design/methodology/approach

A structural equation model (SEM) encapsulating pertinent agile manufacturing attributes and enablers as the focal construct is conceptualized and validated in this research. The SEM model is evolved in a manner that agile attributes and agile enablers are modeled as latent dependent and manifest variable, respectively.

Findings

A number of key hypothesis entailing interactions of key agility enablers, i.e. manufacturing responsiveness agility, manufacturing strategy agility, workforce agility, technology agility, manufacturing management agility, etc. are conceptualized and validated.

Originality/value

The authors specifically focus on evolving agile manufacturing framework (characterized by agility enablers and attributes) that lies at the intersection of SMEs, automotive sector and an emerging economy.

Details

Measuring Business Excellence, vol. 22 no. 3
Type: Research Article
ISSN: 1368-3047

Keywords

Article
Publication date: 24 January 2018

Mohit Goswami

The purpose of this paper is to formulate extended enterprise-oriented structure and process map for technical skill building for firms belonging to emerging economies.

Abstract

Purpose

The purpose of this paper is to formulate extended enterprise-oriented structure and process map for technical skill building for firms belonging to emerging economies.

Design/methodology/approach

The authors identify technical skill building (lies at the intersection of product, process and people) as a key enabler for furthering organizational competitiveness. The authors employ define measure explore develop implement- and supplier, input, process, output, and customer (SIPOC-) based framework for arriving at a technical skill building framework.

Findings

By utilizing the SIPOC-based framework, the authors identify the supplier(s), input(s), process(s), output(s) and customer(s) in the value chain of technical skill building as far as the extended enterprise is concerned.

Originality/value

The paper uses pragmatic and user-friendly conceptualization for technical skill building framework.

Details

Industrial and Commercial Training, vol. 50 no. 3
Type: Research Article
ISSN: 0019-7858

Keywords

Abstract

Subject area

Forecasting.

Study level/applicability

The case is intended for Postgraduate level management students.

Case overview

The purpose of this case study is to explain various forecasting techniques, their applicability and the importance of forecasting to the students. This case also explains the management situations where the application of one technique may not be sufficient, thereby explaining the importance of simultaneous usage of qualitative and quantitative techniques for making crucial decisions. The case is focused on the district of Etah of the state of Uttar Pradesh in India. The real-life situation of elections in this district of an Indian state has been taken to explain the critical nature of forecasting accuracy in a management situation where the manager has only one chance to execute his project. Discussion in this case is limited to explaining various techniques available for forecasting and their applications and does not provide a solution to a management problem.

Expected learning outcomes

The students are expected to understand various forecasting methods and the managerial situations where these can be applied. The case also explains situations where it becomes extremely important to have fairly accurate estimates of future requirements and the application of one technique may not be sufficient, thereby explaining the importance of simultaneous usage of qualitative and quantitative techniques for making crucial decisions.

Supplementary materials

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Subject code

CSS 9: Operations and Logistics.

Details

Emerald Emerging Markets Case Studies, vol. 8 no. 2
Type: Case Study
ISSN: 2045-0621

Keywords

Article
Publication date: 8 August 2019

Gopal Kumar and Mohit Goswami

Sustainable supply chain (SSC) provides one opportunity to achieve competitive advantage. To achieve SSC through triple bottom line (TBL) – economic, environment and…

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Abstract

Purpose

Sustainable supply chain (SSC) provides one opportunity to achieve competitive advantage. To achieve SSC through triple bottom line (TBL) – economic, environment and social – is extensively discussed. Most literature in dealing with environmental issues undermine social dimension even though its potential to bring outstanding results by earning customers loyalty and commitment is immense. Local orientation and different context motivate firms to prioritize sustainability dimensions differently. The purpose of this paper is to conceptualize SSC performance as three dimensional second-order formative construct which is caused by three first-order reflective constructs. Further, the authors examined effect of sustainable performance on barriers to sustainability through collaboration.

Design/methodology/approach

The model is validated by data collected from industries in India using both partial least squares and covariance based structural equation modeling. The authors find the model is valid for both manufacturing and service sectors.

Findings

In Indian context, social dimension is most and environmental dimension is least important differentiating it from developed economy. The authors find sustainable performance subsequently mitigates barriers and risks to sustainability, thereby reducing its impact over time.

Originality/value

This study conceptualizes SSC performance as three dimensional second-order formative construct which is caused by three first-order reflective constructs. Given criticisms to TBL for being western-centric, this study unearths insightful phenomena having implications for both developing and developed world. Further, the authors find sustainable performance reduces effects of barriers to collaboration necessary to achieve SSC. This study contributes to both theory and practice by modeling sustainability performance.

Details

International Journal of Productivity and Performance Management, vol. 68 no. 8
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 13 November 2020

Abhijeet Ghadge, Sujoy Bag, Mohit Goswami and Manoj Kumar Tiwari

An uncertain product demand in online retailing leads to loss of opportunity cost and customer dissatisfaction due to instances of product unavailability. On the other…

Abstract

Purpose

An uncertain product demand in online retailing leads to loss of opportunity cost and customer dissatisfaction due to instances of product unavailability. On the other hand, when e-retailers store excessive inventory of durable goods to fulfill uncertain demand, it results in significant inventory holding and obsolescence cost. In view of such overstocking/understocking situations, this study attempts to mitigate online demand risk by exploring novel e-retailing approaches considering the trade-offs between opportunity cost/customer dissatisfaction and inventory holding/obsolescence cost.

Design/methodology/approach

Four e-retailing approaches are introduced to mitigate uncertain demand and minimize the economic losses to e-retailer. Using three months of purchased history data of online consumers for durable goods, four proposed approaches are tested by developing product attribute based algorithm to calculate the economic loss to the e-retailer.

Findings

Mixed e-retailing method of selling unavailable products from collaborative e-retail partner and alternative product's suggestion from own e-retailing method is found to be best for mitigating uncertain demand as well as limiting customer dissatisfaction.

Research limitations/implications

Limited numbers of risk factor have been considered in this study. In the future, others risk factors like fraudulent order of high demand products, long delivery time window risk, damage and return risk of popular products can be incorporated and handled to reduce the economic loss.

Practical implications

The analysis can minimize the economic losses to an e-retailer and also can maximize the profit of collaborative e-retailing partner.

Originality/value

The study proposes a retailer to retailer collaboration approach without sharing the forecasted products' demand information.

Details

International Journal of Retail & Distribution Management, vol. 49 no. 2
Type: Research Article
ISSN: 0959-0552

Keywords

Article
Publication date: 5 August 2019

Mohit Goswami, Gopal Kumar and Abhijeet Ghadge

Typically, the budgetary requirements for executing a supplier’s process quality improvement program are often done in unstructured ways in that quality improvement…

Abstract

Purpose

Typically, the budgetary requirements for executing a supplier’s process quality improvement program are often done in unstructured ways in that quality improvement managers purely use their previous experiences and pertinent historical information. In this backdrop, the purpose of this paper is to ascertain the expected cost of carrying out suppliers’ process quality improvement programs that are driven by original equipment manufacturers (OEMs).

Design/methodology/approach

Using inputs from experts who had prior experience executing suppliers’ quality improvement programs and employing the Bayesian theory, transition probabilities to various quality levels from an initial quality level are ascertained. Thereafter, the Markov chain concept enables the authors to determine steady-state probabilities. These steady-state probabilities in conjunction with quality level cost coefficients yield the expected cost of quality improvement programs.

Findings

The novel method devised in this research is a key contribution of the work. Furthermore, various implications related to experts’ inputs, dynamics related to Markov chain, etc., are discussed. The method is illustrated using a real life of automotive industry in India.

Originality/value

The research contributes to the extant literature in that a new method of determining the expected cost of quality improvement is proposed. Furthermore, the method would be of value to OEMs and suppliers wherein the quality levels at a given time are the function of quality levels in preceding period(s).

Details

International Journal of Quality & Reliability Management, vol. 36 no. 7
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 2 February 2022

Mohit Goswami and Yash Daultani

This study aims to devise generalized unconstrained optimization models for ascertaining the optimal level of product quality and production capacity level by modeling…

Abstract

Purpose

This study aims to devise generalized unconstrained optimization models for ascertaining the optimal level of product quality and production capacity level by modeling both product price and production cost as a function of product quality. Further, interrelations among investment for quality, product quality and production volume are considered. This study contributes toward the extant research, in that nuances related to price, production volume, and product quality are fused together such that two broad operational strategies of product quality optimization and production capacity optimization can be contrasted.

Design/methodology/approach

To achieve the research objectives, the authors evolve unconstrained optimization models such that optimal product quality level and optimal production capacity level can be obtained employing the principles of differential calculus aimed at maximizing the manufacturer's profit. Specifically, nuances related to quality technology and efficiency, and quality loss cost has also been integrated in the integrated model. Thereafter, employing numerical analysis for a generalized product, the detailed workings of evolved models are demonstrated. The authors further carry out the sensitivity analysis to understand the impact of investment for quality onto the manufacturer's profit for both operational strategies.

Findings

The research demonstrates that the manufacturer would be better off adopting production capacity optimization strategy as an operational policy, as opposed to product quality optimization policy for the manufacturer's profit maximization. Further, considering the two operational strategies, the manufacturer does not obtain the highest possible theoretical profit when pertinent variables (product quality and production capacity) are set at highest possible theoretical level. This research discusses that in low-volume and high-margin products, it might be useful to adopt a product quality optimization strategy as a production capacity optimization strategy results in significantly high quality loss cost.

Originality/value

The findings of our study have a significant implication for industries such as steel-making, cement production, automotive industry wherein the conventional wisdom dictates that higher level of production capacity utilization always results in higher level of revenues. However, the authors deduce that beyond certain production capacity utilization, striving for higher utilization does not fetch additional profit. This work also adds to the extant research literature, in that it integrates the nuances of product quality, production volume and pricing in an integrative manner.

Details

International Journal of Quality & Reliability Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 2 November 2021

Mohit Goswami and Yash Daultani

In this research, the emphasis is multifold. First objective is to study differences amongst India's Make-in-India, Germany's Industry 4.0 and China's Made-in-China 2025…

Abstract

Purpose

In this research, the emphasis is multifold. First objective is to study differences amongst India's Make-in-India, Germany's Industry 4.0 and China's Made-in-China 2025 on a macro level. Second objective is to identify where does individual industry segment out of the five broad segments (prioritized by Make-in-India initiative) represented by ten firms in India stand in terms of adoption of Industry 4.0 technologies. Third objective is to identify key barriers for each of these five industry segments. Finally, socio-technical interventions are also proposed aimed at faster adoption of Industry 4.0 technologies.

Design/methodology/approach

A mixed methodological approach is followed to achieve the research objectives. First, for the macro-level comparison of three pertinent countries, extant research and industry literature have been relied upon. Thereafter, at a micro level, inputs from experts belonging to focal sectors are included in this study to ascertain the current level of readiness of adoption of Industry 4.0 technologies and the barriers to adoption. Finally, the authors argue for and propose some socio-technical interventions that are aimed at mitigation of barriers for adoption of Industry 4.0 technologies.

Findings

It has been ascertained that amongst the ten firms (two each from given focal sectors) considered in the study, the automotive and the software firm are perhaps best placed to adopt the Industry 4.0 technology, while the infrastructure project management firm is least ready for Industry 4.0 technologies. The common barriers to adoption of Industry 4.0 technologies, as elaborated by experts belonging to each of the ten firms, are also identified. These three commons barriers are resistance to change, unclear economic benefits and problems related to coordination and collaboration.

Research limitations/implications

The study is one of first attempts to understand the nuances related to technology readiness across focal industries pertaining to the Make-in-India initiative and Industry 4.0. The study furthers the extant understanding of common and distinct barriers across industries. Employing the soft-systems methodology, the study advocates for a number of socio-technical interventions pertaining to establishment of e-skill ecosystem, community learning clusters and sector-focussed skill acquisition and augmentation. Since the study considers only two firms corresponding to each of the five focal sectors, including more firms across industries could have resulted in further validation of study as well.

Practical implications

Contrasting the initiatives of the three countries results in identification of different thematic focus of the respective initiatives. While India's Make-in-India initiative has a strong social dimension, Germany's Industry 4.0 and Made-in-China 2025 have key objective related to integration of cyber-physical systems and to graduate to innovation-driven country, respectively. Further, analysis on the technology readiness for adoption of Industry 4.0 technologies based on the respective experts' assessment results in understanding of the underlying barriers.

Social implications

Adopting the soft-systems perspective linking nuances of stakeholders, socio-technical systems and socio-economic characteristics results in several propositions to further the social objectives of India's Make-in-India initiative. These propositions advocate for pathways in which extant strengths in terms of technology, people and existing socio-technical structures can be brought together to cater to the requirements related to employability and skill augmentation of new as well as existing workforce.

Originality/value

Extant research literature is primarily focussed on certain specific topics within Industry 4.0 implementation and is mainly based on conceptual or theoretical basis. From a practitioners' perspective, only a few empirical papers could be found that too are typically focussed on single case studies resulting from pilot applications of Industry 4.0. However, such papers have not examined the broad implications of Industry 4.0 in terms of differences between key countries' manufacturing initiatives, readiness of key sectors, sectoral barriers and accompanying policy-level implications associated with implementation of Industry 4.0. Thus, the objective of this research is to abridge these research gaps.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

Article
Publication date: 5 April 2021

Mohit Goswami, Yash Daultani and Atul Tripathi

Optimization of resources related to man, money, manpower and those related to organization is critical in context of after-sales supply chains. Many times, organizational…

Abstract

Purpose

Optimization of resources related to man, money, manpower and those related to organization is critical in context of after-sales supply chains. Many times, organizational objectives in terms of resource optimization and providing superior customer experience might be conflicting, however.

Design/methodology/approach

One such instance is when customers expect near 100% service level in which case the organizational costs to meet such high service level goes up significantly. To this end, in this research a novel bi-objective optimization model has been evolved for a typical after-sales service supply chain network constituted of the manufacturer, the retailer and the customer. The first objective function pertains to maximization of the manufacturer's and the retailer's profit. The second objective function is related to the minimization of tardiness of order fulfilment (by the retailer) for the customer.

Findings

Employing a small problem instance, the authors generate a number of findings related to service level and information asymmetry. In particular, the authors observe that achieving best possible manufacturer-retailer profit and at the same time 100% service level is a mathematical impossibility. Furthermore, reducing information asymmetry between the customer and the retailer (as opposed to reducing information asymmetry between the retailer and the manufacturer) actually yields higher profits for the manufacturer-retailer pair.

Originality/value

This research describes the mathematical structure of a three-tier after-sales supply chain wherein information quality and service level requirements are key constraints. Furthermore, the study evolves the bi-objective optimization model as a formulation that can drive the operational decisions of manufacturers and retailers who are part of such after-sales service supply chains.

Details

International Journal of Quality & Reliability Management, vol. 39 no. 2
Type: Research Article
ISSN: 0265-671X

Keywords

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