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Article
Publication date: 1 December 2001

Ranga Ramasesh, Shailesh Kulkarni and Maliyakal Jayakumar

It has been widely recognized that agility enables manufacturing systems to respond to dynamic and unpredictable changes in today’s competitive environment. Develops a…

Abstract

It has been widely recognized that agility enables manufacturing systems to respond to dynamic and unpredictable changes in today’s competitive environment. Develops a quantitative analysis framework and a simulation methodology to explore the value of agility in financial terms. Addresses the issues pertaining to the assessment of how an agile system performs in an environment of unanticipated changes, the comparison between two or more systems with different designs and hence different agility levels and the justification of investments in agility. Proposes an exploratory framework for a structured analysis of the various segments of the manufacturing system in which agility at different levels is built‐in through different pathways and links it to a set of aggregate performance measures. Then develops a simulation model that captures dynamic and unanticipated changes in the operating environment and facilitates performance appraisal and investment justification decisions using a quantitative financial metric.

Details

Integrated Manufacturing Systems, vol. 12 no. 7
Type: Research Article
ISSN: 0957-6061

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Article
Publication date: 9 September 2019

Kalpak K. Kulkarni, Arti D. Kalro and Dinesh Sharma

This study aims to investigate the influence of Big Five Personality traits (i.e. openness to experience, conscientiousness, extraversion, agreeableness and neuroticism…

Abstract

Purpose

This study aims to investigate the influence of Big Five Personality traits (i.e. openness to experience, conscientiousness, extraversion, agreeableness and neuroticism) on young consumers’ intentions to share branded viral video advertisements. Further, this study also demonstrates that the advertising appeal (informational versus emotional) used in the viral advertisement moderates the effects of specific personality traits on the sharing of viral ads.

Design/methodology/approach

A conceptual framework is proposed based on the Five-Factor Model of Personality (McCrae and John, 1992) and advertising effectiveness literature. Using experiments, responses from young consumers were collected and hypotheses were tested using hierarchical regression and ANOVA.

Findings

Results reveal that the two personality traits, extraversion and openness to experiences, are positively associated with consumers’ viral ad sharing intentions, whereas conscientiousness, agreeableness and neuroticism are not. Moreover, individuals scoring high on openness and extraversion prefer sharing branded viral ads containing informational appeal vis-ã-vis those containing emotional appeals.

Originality/value

Studies decoding the factors behind the success of viral advertisements have more often focussed on the ad content rather than on personality dimensions of the ad sharers. This study bridges this gap by investigating the influence of Big Five Personality traits on young consumers’ intention to forward viral ads, in interaction with ad appeal. Young consumers represent key audience segments consuming and sharing viral content online, and hence, it is important to have a deeper understanding of this market segment.

Details

Journal of Consumer Marketing, vol. 36 no. 6
Type: Research Article
ISSN: 0736-3761

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Article
Publication date: 4 September 2017

Sagar Sikder, Subhash Chandra Panja and Indrajit Mukherjee

The purpose of this paper is to develop a new easy-to-implement distribution-free integrated multivariate statistical process control (MSPC) approach with an ability to…

Abstract

Purpose

The purpose of this paper is to develop a new easy-to-implement distribution-free integrated multivariate statistical process control (MSPC) approach with an ability to recognize out-of-control points, identify the key influential variable for the out-of-control state, and determine necessary changes to achieve the state of statistical control.

Design/methodology/approach

The proposed approach integrates the control chart technique, the Mahalanobis-Taguchi System concept, the Andrews function plot, and nonlinear optimization for multivariate process control. Mahalanobis distance, Taguchi’s orthogonal array, and the main effect plot concept are used to identify the key influential variable responsible for the out-of-control situation. The Andrews function plot and nonlinear optimization help to identify direction and necessary correction to regain the state of statistical control. Finally, two different real life case studies illustrate the suitability of the approach.

Findings

The case studies illustrate the potential of the proposed integrated multivariate process control approach for easy implementation in varied manufacturing and process industries. In addition, the case studies also reveal that the multivariate out-of-control state is primarily contributed by a single influential variable.

Research limitations/implications

The approach is limited to the situation in which a single influential variable contributes to out-of-control situation. The number and type of cases used are also limited and thus generalization may not be debated. Further research is necessary with varied case situations to refine the approach and prove its extensive applicability.

Practical implications

The proposed approach does not require multivariate normality assumption and thus provides greater flexibility for the industry practitioners. The approach is also easy to implement and requires minimal programming effort. A simple application Microsoft Excel is suitable for online implementation of this approach.

Originality/value

The key steps of the MSPC approach are identifying the out-of-control point, diagnosing the out-of-control point, identifying the “influential” variable responsible for the out-of-control state, and determining the necessary direction and the amount of adjustment required to achieve the state of control. Most of the approaches reported in open literature are focused only until identifying influencing variable, with many restrictive assumptions. This paper addresses all key steps in a single integrated distribution-free approach, which is easy to implement in real time.

Details

International Journal of Quality & Reliability Management, vol. 34 no. 8
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 4 November 2019

Achchhe Lal and Khushbu Jain

The purpose of this paper is to evaluate hygro-thermo-mechanically induced normalized stress intensity factor (NSIF) of an edge crack symmetric angle-ply piezo laminated…

Abstract

Purpose

The purpose of this paper is to evaluate hygro-thermo-mechanically induced normalized stress intensity factor (NSIF) of an edge crack symmetric angle-ply piezo laminated composite plate (PLCP) using displacement correlation method.

Design/methodology/approach

In the present work, the governing equations are solved through conventional finite element method combined with higher order shear deformation plate theory utilizing the micromechanical approach.

Findings

The effects of crack length, the thickness of the plate and piezoelectric layer, stacking sequences, fiber volume fraction, position of piezoelectric layer, change in moisture and temperature, and voltage on the NSIF are examined. The numerical results are presented in the form of a table for the better understanding and accuracy. The present outlined approach is validated with results available in the literature. These results can become a benchmark for future studies.

Research limitations/implications

The mathematical models theoretically have been developed by considering different parameters. The results are generated using MATLAB 2015 software developed by the authors’ side.

Originality/value

The fracture analysis of a single edge crack PLCP with the effect of a piezoelectric layer at the different location of cracked structures, plate thickness, and actuator voltage and hygro-thermo loading is the novelty of research for health monitoring and high-performance analysis.

Details

Multidiscipline Modeling in Materials and Structures, vol. 15 no. 6
Type: Research Article
ISSN: 1573-6105

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Article
Publication date: 2 September 2019

Vaishnavi V., Suresh M. and Pankaj Dutta

The purpose of this paper is to identify and analyze the interactions among different readiness factors for implementing agility in healthcare organization. Total…

Abstract

Purpose

The purpose of this paper is to identify and analyze the interactions among different readiness factors for implementing agility in healthcare organization. Total interpretive structural modeling (TISM) based readiness framework for agility has been developed to understand the mutual interactions among the factors and to identify the driving and dependence power of these factors.

Design/methodology/approach

The identification of factors is done by TISM approach used for analyzing the mutual interactions between factors. Cross-impact matrix multiplication applied to classification analysis is utilized to find the driving and dependent factors of agile readiness in healthcare.

Findings

This paper identifies 12 factors of readiness for change in literature review, which is followed by an expert interview to understand the interconnection of factors and to study interrelationships of factors. The study suggests that factors like environmental scanning, resource availability, innovativeness, cost effectiveness, organizational leadership, training and development are important for implementing/improving the readiness of agility in healthcare organizations.

Research limitations/implications

This research focuses mainly on readiness factors for agility in healthcare sector.

Practical implications

Top management must stress on readiness factors that have a strong driving power for efficient implementation of agility in healthcare. This study helps the managers to take quick decisions, and continuous monitoring of readiness factors would be more beneficial to improve the quality of service, which makes the organization more agile.

Originality/value

In this research, TISM-based readiness for agile framework structural model has been proposed for healthcare organizations, which is a new effort for implementation of agility in healthcare.

Details

Benchmarking: An International Journal, vol. 26 no. 7
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 13 February 2017

Arti D. Kalro, Bharadhwaj Sivakumaran and Rahul R. Marathe

Extant research on comparative advertising has focused only on “market leader” comparisons (a brand targeting the market leader), whereas in the marketplace, “multi-brand”…

Abstract

Purpose

Extant research on comparative advertising has focused only on “market leader” comparisons (a brand targeting the market leader), whereas in the marketplace, “multi-brand” comparisons are more prevalent (Kalro et al., 2010). Moreover, most research focuses on direct comparisons only. Hence, this research aims to investigate the interplay between comparison ad strategy (“market leader”/“multi-brand” comparisons) and comparison ad format (direct/indirect comparisons) on the effectiveness of comparative advertising.

Design/methodology/approach

This paper uses four 2 × 2 fully crossed factorial designs (comparison ad format: direct vs indirect and comparison ad strategy: market leader vs multi brand) with established and new brands in two categories: powdered detergents and smart phones. All studies were conducted in metropolitan cities of India.

Findings

By and large, the experiments indicated that direct (indirect) comparisons lowered (heightened) perceived manipulative intent and enhanced (reduced) attitude-toward-the-ad for multi-brand (market leader) comparisons.

Practical implications

Findings suggest that when advertisers use comparative advertising, they may use direct ads when using multi-brand comparisons and use indirect ones when using market leader comparisons. It could also be argued that when advertisers use multi-brand comparisons because of fragmentation in the marketplace, they may directly compare against these multiple brands. When advertisers need to compare against a market leader, they may do so indirectly.

Originality/value

This research is among the first to investigate multi-brand comparisons that are widely used in the industry and that too in the context of both direct and indirect comparison formats.

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