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This paper aims to understand the impact of modern technologies such as artificial intelligence on impulse buying behaviour of Indian shoppers specifically in fashion retail outlets.

The empirical study on the effect of artificial intelligence on impulse purchase decisions was conducted through an e-survey of the Indian shoppers. The data collected was analysed using factor analysis and multiple regression analysis.

The impact of modern technologies which are used by the retailers to enhance sale and consumer engagement was studied. The relationship between use of artificial intelligence parameters such as the purchase duration, recommended products, product information and human interaction and its impact on Impulse Purchase was studied and the results revealed that all these factors except product information had a significant impact on the impulse purchase decision of the buyer.

This study will be useful to the fashion retailers to gauge the effect of incorporating artificial intelligence and its impact on driving sales by attracting shoppers to their outlets.

This study specifically focusses on the impact of modern technologies on impulse purchase of Indian shoppers in fashion retail outlets. Other research works have focussed on impact of visual merchandising, store layouts, store environment and promotional activities on impulse purchases. This is one of the few studies which deals with the impact of artificial intelligence on impulse buying behaviour of Indian shoppers specifically in the fashion retail segment.

The four stage model of Hayes and Wheelwright (H‐W) describing the strategic role of manufacturing function is widely accepted in the literature. However, there is little research that has examined the underlying factors of the H‐W model. This paper aims to fill this research gap by developing an instrument for measuring factors of strategic manufacturing effectiveness of a company based on the H‐W model.

The general principle of designing an instrument is followed in this paper. Attributes of strategic manufacturing effectiveness are identified from critical analysis of the original text of Wheelwright and Hayes, and Chase and Hayes. Then these attributes are grouped into four factors: catalysts of manufacturing initiatives; proactiveness of manufacturing function; attitude of top management towards manufacturing; and nature of manufacturing initiatives. Question for each attribute along continuum of four stages in the H‐W model is developed. The reliability and validity of the instrument are assessed through responses obtained from managers of 28 manufacturing units.

The empirical evidence supports that the proposed instrument has quite good reliability (Cronbach's α for different factors in the range of 0.575 to 0.705) and validity (multiple correlation coefficient between factors and manufacturing performance of 0.801).

This instrument can be used to position the companies along the continuum of four stages. Also, this can help managers assess the strengths and weaknesses in manufacturing for making the improvements.

This study is one of its kind which focuses on the development of an instrument to assess the strategic role of manufacturing based on the H‐W model.

This paper seeks to provide a conceptual framework to understand the complex technological innovation process from a cognitive perspective.

A cross‐disciplinary literature survey from multiple academic disciplines such as business management, philosophy, and psychology coupled with professional experience was employed to conceive the framework.

The framework can be a starting‐point for researchers to initiate research in the design of technological innovation systems, change management and organizational restructuring.

The main limitation of this paper is that the framework has been qualitatively validated in two publicly held R&D intensive organizations in India.

Senior managers from industry can initiate competence building using the managerial concepts employed in the framework. By leveraging the intellectual capital of the organization, intellectual property, including new products and processes, can be developed, which in turn improves business performance.

This paper introduced a framework to describe the innovation process. Two new constructs are introduced to account for the complexity and the uncertainty in the innovation process.

The purpose of this paper is to explore the functionality of multistage programming approach on network supply chain structure.

The general supply chain structure is considered and the supply chain planning model is developed using a two stage programming approach. The same model is extended to cover the applicability and advantages of a multi‐stage programming approach.

A multi‐period supply chain model for new product launches under uncertain demand for supply chain network structure has been developed. The model allows simultaneous determination of optimum procurement quantity, production quantity across the different plants, transportation routes and the outsourcing cost in case of shortages. The proposed multi‐stage model is compared with the standard two‐stage model by examining the difference between the objective values of two solutions. The research clearly shows the importance of the multi‐stage model as compared to the two‐stage programming model.

The models developed here are limited to covering demand uncertainty, whereas real supply chain exhibits different uncertainties like capacity, processing time, etc. This can be the future direction for extending the work.

The model is very useful in designing and planning the supply chain in an uncertain environment. The model allows the adjustment of the production plan as time progresses and uncertainties become resolved.

The model uses a scenario approach to address the supply chain planning problem for a supply chain network structure under an uncertain environment and compares the two‐solution approach for a set of problems. Generally supply chain costs are in millions of dollars and the saving using multi‐stage programming can be significant.

To develop an EOQ based model to quantify the benefit accrue due to coordination for the one supplier and n retailer supply chain system and concept to share the benefits derived from coordination.

An intensive literature review has been done in the area of supply chain coordination covering both marketing and operational perspective. The analysis of literature has shown that models to quantify the benefits for supply chains consisting of a single supplier who supplies a product to multiple heterogeneous buyers are very limited. To fill this critical research gap the benefit sharing mechanism is derived based on optimal order quantity of the supply chain system.

This paper demonstrates the benefits of coordination to the supply chain system in terms of cost saving and generating the surplus money. It also suggests a way to find the range of prices to facilitated coordination. Under the developed pricing policy, no partner after coordination had to bear a loss. So in that sense we can say that the benefits of coordination are distributed to all the partners.

The proposed model for benefit sharing protects the interest of all supply chain partners and hence will be profitable to all. The pricing scheme suggested will motivate retailers to increase ordering quantity per order, thereby reducing the joint ordering and holding costs.

The paper is unique in terms of quantifying and sharing the benefits of coordination for one supplier – multi heterogeneous buyer supply chain system.

In the context of sequential multistage utilitarian service processes, the purpose of this study is to develop and validate propositions to study the impact of service quality (SQ) perceptions developed in intermediate stages, along with the impact of service gestalt characteristics, such as peak and end experiences, on quality perception at each stage and on overall service quality (OSQ) perception. The cascade phenomenon (interdependency between process stages) is considered in the evaluation of OSQ perception of customer, who experiences service through a series of planned, distinct and partitioned sequential stages.

In this paper, a conceptual framework is used to evolve the propositions. Subsequently, propositions are tested in three different utilitarian service contexts wherein customer survey was conducted for feedback on attributes at each stage, summary perception evaluations of each stage and OSQ evaluation of multistage process. Peak experiences, considered for OSQ evaluation, were defined by a suitable statistical technique. Ordinal logistic regression with nested models is the technique used for analyzing the data.

This work reveals significant cascade effect of summary evaluation of intermediate stages on the subsequent stage. Peak customer experience (negative or positive) is observed to be marginally significant on intermediate stage and OSQ evaluation. In addition, OSQ is observed to be influenced by summary perception evaluations of intermediate stages, which leads to better model adequacy. Finally, among all the stages, end stage performance is observed to have a significant impact on the overall multistage SQ.

The findings suggest that in view of the cascade effect of intermediate stages, managers need to allocate resources to ensure that all stages are performing at an adequate level instead of only focusing on improving peaks and end effects of customer experiences. The proposed approach is easy to implement and suitable for evaluating SQ and OSQ in varied multistage sequential utilitarian service environment.

An integrated approach for evaluation of SQ in sequential multistage utilitarian service processes is proposed from the perspective of cascade effect of intermediate stages and peak and end effects on OSQ perception.

Managers prefer semantic imbeds in brand names, but extant literature has primarily studied fictitious names for their sound-symbolic perceptions. This paper aims to explore sound-symbolic perceptions of products with blended brand names (BBNs), formed with at least one semantic and one nonsemantic component. Unlike most extant literature, this study not only estimates the effect of vowels and consonants individually on product perceptions but also of their combinations. The boundary condition for this effect is examined by classifying products by their categorization and attributes by their abstractness.

Through a within-subject experiment, this paper tested perceptions of products with BBNs having high-/low-frequency sounds. A mixed-design experiment followed with sound frequency, product-level categorization and attributes’ abstractness as predictor variables.

For BBNs, vowel sounds convey brand meaning better than the combinations of vowel and consonant sounds – and these convey brand meaning better than consonant sounds. Differences in consumers’ perceptions of products with BBNs occur when the degree of attributes’ abstractness matches product-level categorization, such as when concrete attributes match subordinate-level categorization.

Brand managers/strategists can communicate product positioning (attribute-based) through BBNs created specifically for product categories and product types.

This research presents a comparative analysis across vowels, consonants and their combinations on consumers’ perceptions of products with BBNs. Manipulation of names’ length and position of the sound-symbolic imbed in the BBN proffered additional contributions. Another novelty is the interaction effect of product categorization levels and attributes’ abstractness on sound-symbolic perception.

The purpose of this paper is to analyse the relationship between operational risk management (ORM), size, and ownership of Indian banks. This is important in the context of financial crisis experienced by developed countries due to lax regulation.

ORM practices of Indian banks are proxied by excess capital (over the required minimum capital for operational risk). Size of a bank is measured as deposits plus advances. Our sample includes 61 Indian banks during the period from 2010 to 2013. The authors empirically examine the impact of bank size on excess capital using panel data regression model.

The results suggest that size of Indian banks is inversely related to excess capital held by them for managing operational risk. The inverse relationship implies that smaller banks hold higher excess capital over the required minimum as per Basel norms. There is no significant relationship between ownership (public, private and foreign) and excess capital held by banks for managing operational risk.

The study has implications for Indian banks given the high level of losses due to bad loans, and the implementation of Basel III norms by the central bank, i.e. Reserve Bank of India.

The study has implications for Indian financial system as a large percentage (about 33 per cent) of household savings are deployed in deposits with commercial banks and other financial institutions. The bank failure(s) can have disastrous consequences for the Indian economy as the capacity of the Indian financial system to withstand such shocks is highly doubtful.

There is very little evidence on ORM practices of Indian banks, and its relationship with size and ownership. The study assumes significance in the context of significant changes in the institutional and regulatory framework.

The purpose of this paper is to develop a tool, “The Excellence Grid,” to categorize attributes on the basis of their ability to impact customer perception of “excellence” in service compared to perception of “good” service. In addition, provide a three dimensional (3D) model for excellence-performance analysis, which can aid managers in formalizing the strategies for building perceptions of excellence about the service.

The positive zone of performance is analyzed through a two-function modeling technique of ordinal logistic regression (OLR) with the non-proportional odds to categorize attributes on grid. Tool is applied to two case studies to validate and establish the asymmetric impact of attributes on perceptions of “good service” and “excellent service.”

Similar to the Kano model for impact of attributes on positive and negative performances, findings from cases confirm the asymmetric impact of attributes on the positive zone of performance and establish “Excellence Grid” as a means to categorize attributes as drivers of excellence.

The “Excellence Grid” tool is expected to empower managers to focus on strategies directed toward the goal of “service excellence” and recommends that managers should not only strive for process improvement, but also sharpen the external communication of service excellence.

The “Excellence Grid” and the “3D Excellence-Performance model,” proposed in this research, are expected to enrich the body of knowledge on operational tools to achieve service excellence. Using parameter estimates of the two-function model of OLR for service quality has not yet been reported in open literature.

This paper aims to examine the strategic issues of risk for independent theatrical film distributors in the Hindi film industry in India.

The study adopted qualitative grounded theory approach to explore contextually relevant strategic issues of risk for independent theatrical film distributors. Semi-structured in-depth interviews with Hindi film distributors helped to gain explorative insights about the risk behaviour of film distributors operating in Mumbai “circuit”.

The findings suggest that risk faced by distributors is a function of product (film content) features, contractual terms, resources such as finance and strength of strategic alliances with the producers. The study develops a business risk model for the film distributors from a series of propositions.

The paper contributes to the literature on motion picture industry by highlighting the importance of distribution risk in the film value chain.