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Six Sigma is a well-established powerful business strategy for achieving operational excellence (OPEX). However, previous studies have suggested that the Six Sigma may negatively impact organizational creativity and innovation. The C-K theory is one of the most widely used technique for design reasoning which promotes the creativity and innovation. The purpose of this paper is to integrate the Six Sigma methodology and C-K theory for enhancing innovative capacity of Six Sigma for achieving OPEX.

The paper proposes an integration methodology of C-K theory and Six Sigma using the extant literature. Also, a case study is conducted based on the proposed integration model.

The paper suggests a step-by-step integration methodology for integrating Six Sigma with C-K theory for both (DMAIC and DMADV). The methodology when applied to a live case in mining logistics the results are very encouraging. The solution was cost effective and also technically superior compared to previous solutions.

The paper proposes a step-by-step methodology for the integration of Six Sigma with C-K tools. The methodology is practically applied in a live case. Organizations can use findings from this paper to implement an integration model of Six Sigma with C-K theory.

This is the first paper that proposes an integration methodology of Six Sigma with C-K theory to enhance the innovation capability to achieve the OPEX.

Lean Six Sigma (LSS) has been one of the most widely used quality improvement initiatives over the last decade. However, the success rate of LSS is dismally poor, and most organizations discontinue LSS initiatives prematurely. The purpose of this paper is to answer the question why do organizations discontinue LSS initiatives?

To understand the discontinuance mechanism of LSS initiatives, the authors selected two companies. One from the manufacturing and one from service sector in India. The companies were selected as they had initially implemented LSS, and later within six years had discontinued the initiatives. Four projects from each company were studied using case study methodology.

This study finds 11 factors due to which the organizations discontinue LSS initiatives. The factors are poor success rate, unrealistic expectations from LSS, unsustainable results, misuse of statistics, large tool set, unsupportive and uncommitted top management, lack of training and development, lack of synergy of LSS and business strategy, lack of link between LSS and customer needs, wrong projects selection and premature discontinuation of LSS experts. The study further discusses the discontinuance mechanisms of LSS using propositions.

LSS is one of the most widely used initiatives in the organizations. Such initiatives involve costs. Earlier studies have reported that many organizations discontinue the LSS initiatives resulting in a loss or not meeting the intended goals. This paper will help the practitioners as well as organizations to understand why organizations discontinue LSS and take prompt actions for its success.

Earlier studies on LSS address the critical success factors, and this paper addresses those about failures by studying organizations that have discontinued LSS. The present study finds 11 factors that are responsible for discontinuing LSS in organizations. In addition, propositions are developed for future research and empirical testing. This study also offers further insights into the discontinuance mechanisms involved in LSS.

Lean Six Sigma (LSS) is one of the most popular and widely used business improvement methodologies. However, many organizations discontinue LSS despite a plethora of studies on the critical success factors. The purpose of this study is to answer the research question how do organizations implement an effective LSS initiative?

Qualitative study is conducted on managers working in companies using LSS for a long time. The data were analysed using Colaizzi method.

Twelve factors were identified which were responsible for the effective implementation of LSS. They are financial performance, organization-wide LSS culture, organization-wide innovation culture, continuous training and retraining of employees on LSS, continuous top management support, linking LSS to business strategy, linking LSS to the customer, project selection strategy, communication, recognition and compensation systems, social benefits and green benefits.

This is the first study to investigate the effective implementation of LSS initiative in the organization.

Industry 4.0 is the present trend in automation and data exchange in organizations. However, till today, there is no generic and common understanding in terms of assessing the Industry 4.0 readiness for organizations. The purpose of this paper is to identify the key ingredients for assessing Industry 4.0 readiness for organizations, the interrelationships that exist between these readiness factors and how future research should proceed given the research findings.

A systematic literature review (SLR) methodology of Tranfield et al. (2003) was employed to ensure the replicability and transparency of the review process. Altogether, 68 articles were identified for the final thematic analysis.

The SLR results generated six broad themes of readiness factors. The interrelationship mechanism between these factors was identified. In addition, 17 research propositions were elucidated.

Being the first literature review on assessing Industry 4.0 readiness for organizations, it finds 17 research propositions which will give the future researchers a guideline for further research in Industry 4.0.

Although Industry 4.0 is the buzzword, very few organizations understand the concept in detail. This paper will help the organizations to identify the factors which they have to asses critically before implementing Industry 4.0 in an organization.

Nevertheless, there has been a lot of research on Industry 4.0; this is the first systematic literature to identify the key ingredients for assessing Industry 4.0 readiness for organizations.

The purpose of this paper is to investigate the relationship between Six Sigma, organizational learning and innovation performance. Also, whether organizational learning advance innovation performance by playing a mediating role between Six Sigma and innovation performance, probing the moderating effects of organizational types between six sigma and organizational learning, and also testing a proposed model to explain the relationships among Six Sigma, organizational type organizational learning, and innovation performance through an empirical examination in the Indian industry context.

Correlations are used to analyze the degree of relationship between constructs and to further understand the direct and indirect effects, as well as the moderating and mediating effects among the constructs in model, structural equation modeling is conducted using AMOS 6.0 on data collected from Indian industries.

This study proves the positive relationship between Six Sigma and organizational learning. It also confirms that Six Sigma role structure and Six Sigma focus on metrics contributes positively to organizational innovation, however, Six Sigma structured improvement procedure was found to be negatively related to organizational innovation, thus contributing to Six Sigma‐Innovation Paradox. This study also rejects moderating effects of organizational type between Six Sigma and organizational learning.

Cultural context is a critical factor not only on Six Sigma, but also organizational learning, and organization innovation for investigating hence future study should consider this aspect. This research suggests the need for more intensive research to explore in more depth the relationship between Six Sigma structured improvement procedure, and the administrative and the technical innovation to identify the existence of potentially mediating variables in order to understand what is named the Six Sigma‐Innovation Paradox.

The findings are useful for business managers in developing countries such as India, who want to enhance business performance through implementing Six Sigma practices that support their firm's product and services innovation efforts.

The study has contributed to establishing an empirical research between Six Sigma, organizational learning and organizational innovations that facilitates more quality management research in developing countries. It has contributed to clarifying the disputed relationship between Six Sigma practices and the firm's learning and innovativeness, and shows empirical evidence in India to confirm that the Six Sigma practices deployed by a firm has a positive impact on its organizational learning. Six Sigma focuses on role structure and metrics contributed positively to innovation, however the Six Sigma effect of procedure on organizational innovation is negatively related, thus opening new areas of Six Sigma‐Innovation Paradox.

In an effort to enhance the student experience and achieve complex learning outcomes the use of gamification in higher education is increasing. Using two case studies, this paper explores the efficacy of two discrete inclusions of gamification in entrepreneurial education.

In the first case study, students leveraged their taught knowledge about gamification to develop a gamified business concept. In the second case study, students played a humanitarian game and provided feedback about its design and efficacy.

The students' overall engagement with entrepreneurial education was significantly influenced by two factors: their perceived learning about gamification; and their perceived engagement with the gamification. It was observed that highly engaged students considered the gamification component of the course challenging.

This study demonstrates the potential of gamification to enhance engagement and to foster higher-order learning in the context of entrepreneurial education.

The purpose of this study is to investigate the relative efficacies of intrinsic and extrinsic cues as drivers of customer loyalty to financial institutions between male and female bank customers.

A large-scale survey of 872 customers of a national bank serves as the study setting.

Results showed that extrinsic cues were the more effective correlates of customer loyalty and that gender does not moderate the relationships between image cues and customer loyalty.

The cross-sectional nature of the current study does not allow causal inferences. Therefore, future studies should adopt longitudinal designs.

Results suggest that, although transmitting a favorable image through extrinsic cues is critical, nevertheless, intrinsic cues (interactions among customers and bank personnel) should not be ignored. To reinforce this not only among current customers but also among potential customers, banks should use advertisements featuring favorable testimonials.

Empirical research in the banking services literature pertaining to the efficacies of intrinsic and extrinsic cues in forming customer loyalty is scarce. This study fills in the void. Also, in determining if the relationships between image and customer loyalty vary by gender, the authors not only looked at male versus female differences on the basis of average construct scores but also examined the structural relationships among the constructs.

Ceramic materials and glasses have become important in modern industry as well as in the consumer environment. Heat resistant ceramics are used in the metal forming processes or as welding and brazing fixtures, etc. Ceramic materials are frequently used in industries where a wear and chemical resistance are required criteria (seals, liners, grinding wheels, machining tools, etc.). Electrical, magnetic and optical properties of ceramic materials are important in electrical and electronic industries where these materials are used as sensors and actuators, integrated circuits, piezoelectric transducers, ultrasonic devices, microwave devices, magnetic tapes, and in other applications. A significant amount of literature is available on the finite element modelling (FEM) of ceramics and glass. This paper gives a listing of these published papers and is a continuation of the author's bibliography entitled “Finite element modelling of ceramics and glass” and published in Engineering Computations, Vol. 16, 1999, pp. 510‐71 for the period 1977‐1998.

The form of the paper is a bibliography. Listed references have been retrieved from the author's database, MAKEBASE. Also Compendex has been checked. The period is 1998‐2004.

Provides a listing of 1,432 references. The following topics are included: ceramics – material and mechanical properties in general, ceramic coatings and joining problems, ceramic composites, piezoceramics, ceramic tools and machining, material processing simulations, fracture mechanics and damage, applications of ceramic/composites in engineering; glass – material and mechanical properties in general, glass fiber composites, material processing simulations, fracture mechanics and damage, and applications of glasses in engineering.

This paper makes it easy for professionals working with the numerical methods with applications to ceramics and glasses to be up‐to‐date in an effective way.

Extraction of leaf region from the plant leaf images is a prerequisite process for species recognition, disease detection and classification and so on, which are required for crop management. Several approaches were developed to implement the process of leaf region segmentation from the background. However, most of the methods were applied to the images taken under laboratory setups or plain background, but the application of leaf segmentation methods is vital to be used on real-time cultivation field images that contain complex backgrounds. So far, the efficient method that automatically segments leaf region from the complex background exclusively for black gram plant leaf images has not been developed.

Extracting leaf regions from the complex background is cumbersome, and the proposed PLRSNet (Plant Leaf Region Segmentation Net) is one of the solutions to this problem. In this paper, a customized deep network is designed and applied to extract leaf regions from the images taken from cultivation fields.

The proposed PLRSNet compared with the state-of-the-art methods and the experimental results evident that proposed PLRSNet yields 96.9% of Similarity Index/Dice, 94.2% of Jaccard/IoU, 98.55% of Correct Detection Ratio, Total Segmentation Error of 0.059 and Average Surface Distance of 3.037, representing a significant improvement over existing methods particularly taking into account of cultivation field images.

In this work, a customized deep learning network is designed for segmenting plant leaf region under complex background and named it as a PLRSNet.