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Publication date: 28 August 2020

Anna Souakri

Venture capital is a critical source of funding and development of new ventures. The investment decision of venture capitalists (VCs) is a multi-stage assessment process where the…

Abstract

Venture capital is a critical source of funding and development of new ventures. The investment decision of venture capitalists (VCs) is a multi-stage assessment process where the entrepreneurs’ characteristics are the most important criteria to determine the decision to accept or to reject the proposal at the screening stage. At this stage, the decision-making of VCs is influenced by their subjective characteristics and their interactions with the entrepreneurs who share the same characteristics as theirs. How do the entrepreneurial experiences of both VCs and entrepreneurs interact and bias the evaluation? Several studies have tried to provide an answer to this still pending question. Research concurs in that entrepreneurial experience drives primarily the screening decisions of VCs. Yet, if many studies have shown that VCs are prone to cognitive biases in their evaluations, research focusing on the relationship between of those biases and entrepreneurial experience in the context of investment decision is scarce. VCs’ cognitive biases have been linked to the subjective characteristics of VCs. Most precisely, many studies have shown that a common bias among investors is the similarity-attraction bias such that VCs’ evaluations improve when VCs and entrepreneurs share the same characteristics. As a result, it is likely that entrepreneurial experience plays a significant role in explaining biases in investment decisions. Overall, research points out the importance of entrepreneurial experience of both VCs and entrepreneurs, their interactions and the cognitive biases shaped by their respective experiences in explaining the investment decisions of VCs at the screening stage.

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The Entrepreneurial Behaviour: Unveiling the cognitive and emotional aspect of entrepreneurship
Type: Book
ISBN: 978-1-78973-508-6

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Article
Publication date: 6 August 2010

B. Tjahjono, P. Ball, V.I. Vitanov, C. Scorzafave, J. Nogueira, J. Calleja, M. Minguet, L. Narasimha, A. Rivas, A. Srivastava, S. Srivastava and A. Yadav

The purpose of the work presented in this paper is to capture the current state of Six Sigma as well as to document the current practices of Six Sigma through a systematic…

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Abstract

Purpose

The purpose of the work presented in this paper is to capture the current state of Six Sigma as well as to document the current practices of Six Sigma through a systematic literature review so as to extend and update the previous work of Brady and Allen.

Design/methodology/approach

The approach to this paper is to answer the questions such as “what is Six Sigma?”, “what are the applications of the Six Sigma?”, “what are the main enablers and barriers to its application?” and “what are the emerging trends?” These questions are used to guide the search of papers from various publication databases even if it is expected that existing literature might not be sufficiently developed to translate each question directly into a finding. The literature is then analysed and the major emerging themes are presented.

Findings

Seven key findings (topics on which the views of the authors converged) and two issues (topics on which authors had differing views) have been established. These include the interpretation of Six Sigma, tools and techniques, implementation of Six Sigma, benefits, adoption, enablers and links to other disciplines.

Originality/value

The systematic literature review approach used in this paper allows emerging trends and issues in Six Sigma to be highlighted in a structured and thematic manner, enabling the future work to progress as Six Sigma continues to develop and evolve. The findings also open up new opportunities to apply Six Sigma in the fields that are not widely explored before for instance sustainability and product‐service systems.

Details

International Journal of Lean Six Sigma, vol. 1 no. 3
Type: Research Article
ISSN: 2040-4166

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Article
Publication date: 5 December 2024

Bikramjit Rishi, Atul Shiva and Lakshay Piplani

The paper applies the theory of planned behaviour (TPB) to investigate how surrogate advertising on social media platforms influences consumer attitudes towards alcohol products…

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Abstract

Purpose

The paper applies the theory of planned behaviour (TPB) to investigate how surrogate advertising on social media platforms influences consumer attitudes towards alcohol products. Additionally, it explores the moderating effect of consumer scepticism on these attitudes.

Design/methodology/approach

A cross-sectional survey of 304 consumers was conducted to test the hypotheses using variance-based structural equation modelling (VB-SEM). Slope analysis was used to examine interaction moderation effects, while importance-performance map analysis (IPMA) identified key dimensions influencing alcohol purchasing behaviour.

Findings

The findings revealed that subjective norms and behavioural intentions significantly influence alcohol purchasing behaviour in the context of surrogate advertising on social media. The results suggest that advertisers should focus on themes of collective consumption, camaraderie and togetherness in their social media advertising content to enhance sale outcomes.

Originality/value

Research on surrogate advertising on social media platforms, particularly in shaping attitudes towards alcohol products, remains limited. This study addresses this gap, offering marketers critical insights into performance-based variables that can help them develop more effective marketing strategies.

Details

Marketing Intelligence & Planning, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0263-4503

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Article
Publication date: 10 May 2019

Ravichandran Joghee

The purpose of this paper is to propose an approach for studying the Six Sigma metrics when the underlying distribution is lognormal.

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Abstract

Purpose

The purpose of this paper is to propose an approach for studying the Six Sigma metrics when the underlying distribution is lognormal.

Design/methodology/approach

The Six Sigma metrics are commonly available for normal processes that are run in the long run. However, there are situations in reliability studies where non-normal distributions are more appropriate for life tests. In this paper, Six Sigma metrics are obtained for lognormal distribution.

Findings

In this paper, unlike the normal process, for lognormal distribution, there are unequal tail probabilities. Hence, the sigma levels are not the same for left-tail and right-tail defects per million opportunities (DPMO). Also, in life tests, while left-tail probability is related to DPMO, the right tail is considered as extremely good PMO. This aspect is introduced and based on which the sigma levels are determined for different parameter settings and left- and right-tail probability combinations. Examples are given to illustrate the proposed approach.

Originality/value

Though Six Sigma metrics have been developed based on a normality assumption, there have been no studies for determining the Six Sigma metrics for non-normal processes, particularly for life test distributions in reliability studies. The Six Sigma metrics developed here for lognormal distribution is new to the practitioners, and this will motivate the researchers to do more work in this field of research.

Details

International Journal of Quality & Reliability Management, vol. 36 no. 9
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 11 June 2020

Judith A. Holton

This study explores the efficacy of social movements thinking for mobilizing resources toward sustainable change in large-scale systems such as health and social services.

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Abstract

Purpose

This study explores the efficacy of social movements thinking for mobilizing resources toward sustainable change in large-scale systems such as health and social services.

Design/methodology/approach

The study proceeds from a critical realist perspective employing a qualitative multi-case study approach. Drawing on the tenets of grounded theory (i.e. constant comparative analysis and theoretical sampling), data from semi-structured interviews and field notes were analyzed to facilitate theoretical integration and elaboration.

Findings

One case study explores the emergence of social movements thinking in mobilizing a community to engage in sustainable system change. Data analysis revealed a three-stage conceptual framework whereby building momentum for change requires a fundamental shift in culture through openness and engagement to challenge the status quo by acknowledging not only the apparent problems to be addressed but also the residual apathy and cynicism holding the system captive to entrenched ideas and behaviors. By challenging the status quo, energy shifts and momentum builds as the community discovers shared values and goals. Achieving a culture shift of this magnitude requires leadership that is embedded within the community, with a personal commitment to that community and with the deep listening skills necessary to understand and engage the community and the wider system in moving forward into change. This emergent conceptual framework is then used to compare and discuss more intentional applications of social movements thinking for mobilizing resources for large-scale system change.

Originality/value

This study offers a three-stage conceptual framework for mobilizing community/system resources toward sustainable large-scale system change. The comparative application of this framework to more intentional applications of social movements thinking to planned change initiatives offers insights and lessons to be learned when large-scale systems attempt to apply such principles in redesigning health and social service systems.

Details

Journal of Organizational Change Management, vol. 33 no. 5
Type: Research Article
ISSN: 0953-4814

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Article
Publication date: 22 June 2012

Nelson Oly Ndubisi

The purpose of this paper is to examine mindfulness‐based marketing strategy implementation by small healthcare businesses and its outcome on relationship quality.

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Abstract

Purpose

The purpose of this paper is to examine mindfulness‐based marketing strategy implementation by small healthcare businesses and its outcome on relationship quality.

Design/methodology/approach

The author evaluates the direct and indirect effects of mindful marketing practices of customer orientation, communication and competence on customer satisfaction and relationship quality in small healthcare organisations (SHOs) in Malaysia, by drawing from the mindfulness theory. Data were provided by 412 customers of SHOs and analysed using factor and hierarchical multiple regression analysis techniques.

Findings

It was found that customer orientation, communication and competence are influential factors of customer satisfaction and relationship quality. Satisfaction partially mediates in the association of the mindfulness‐based marketing strategies and relationship quality.

Research limitations/implications

The study's sample was limited to SHOs in Malaysia. Although the objective of the study was met, both qualitative and quantitative testing of mindfulness‐based approaches in large firms and in other industries in other countries are invited.

Practical implications

The paper highlights some of the mindful marketing strategies which healthcare service providers and service industries in general can adopt in order to consummate high relationship quality.

Originality/value

Mindfulness theory is hardly studied in the field of marketing and just a handful of research exists in quality research. This paper adds value by pushing back the frontier of knowledge in these areas.

Details

International Journal of Quality & Reliability Management, vol. 29 no. 6
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 9 December 2020

Fatma Pakdil, Pelin Toktaş and Gülin Feryal Can

The purpose of this study is to develop a methodology in which alternate Six Sigma projects are prioritized and selected using appropriate multi-criteria decision-making (MCDM…

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Abstract

Purpose

The purpose of this study is to develop a methodology in which alternate Six Sigma projects are prioritized and selected using appropriate multi-criteria decision-making (MCDM) methods in healthcare organizations. This study addresses a particular gap in implementing a systematic methodology for Six Sigma project prioritization and selection in the healthcare industry.

Design/methodology/approach

This study develops a methodology in which alternate Six Sigma projects are prioritized and selected using a modified Kemeny median indicator rank accordance (KEMIRA-M), an MCDM method based on a case study in healthcare organizations. The case study was hypothetically developed in the healthcare industry and presented to demonstrate the proposed framework’s applicability and validity for future decision-makers who will take place in Six Sigma project selection processes.

Findings

The study reveals that the Six Sigma project prioritized by KEMIRA-M assign the highest ranks to patient satisfaction, revenue enhancement and sigma level benefit criteria, while resource utilization and process cycle time receive the lowest rank.

Practical implications

The methodology developed in this paper proposes an MCDM-based approach for practitioners to prioritize and select Six Sigma projects in the healthcare industry. The findings regarding patient satisfaction and revenue enhancement mesh with the current trends that dominate and regulate the industry. KEMIRA-M provides flexibility for Six Sigma project selection and uses multiple criteria in two-criteria groups, simultaneously. In this study, a more objective KEMIRA-M method was suggested by implementing two different ranking-based weighting approaches.

Originality/value

This is the first study that implements KEMIRA-M in Six Sigma project prioritization and selection process in the healthcare industry. To overcome previous KEMIRA-M shortcomings, two ranking based weighting approaches were proposed to form a weighting procedure of KEMIRA-M. As the first implementation of the KEMIRA-M weighting procedure, the criteria weighting procedure of the KEMIRA-M method was developed using two different weighting methods based on ranking. The study provides decision-makers with a methodology that considers both benefit and cost type criteria for alternates and gives importance to experts’ rankings related to criteria and the performance values of alternates for criteria.

Details

International Journal of Lean Six Sigma, vol. 12 no. 3
Type: Research Article
ISSN: 2040-4166

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Article
Publication date: 1 July 2021

Surya Prakash, Satish Kumar, Gunjan Soni, Raj V. Mahto and Nitesh Pandey

This study aims to present an overview of leading research trends in the lean six sigma domain published in the International Journal of Lean Six Sigma (IJLSS) since its inception.

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Abstract

Purpose

This study aims to present an overview of leading research trends in the lean six sigma domain published in the International Journal of Lean Six Sigma (IJLSS) since its inception.

Design/methodology/approach

The study analyses articles published between 2010 and 2019 in IJLSS using the bibliometric technique. The results of data analysis identify the most prolific authors, their affiliation, citation trends and highly cited articles from the journal. Further, a graphical analysis involving bibliographic coupling and co-citation analysis of the corpus enriches the investigation.

Findings

The results of the bibliometric analysis suggest that the number of IJLSS’s publications and citations grew markedly over time (from 4 citations in 2010 to nearly 1,324 in 2019). The organizational diversity and collaboration among authors publishing in IJLSS are trending upwards. Case study and focus group are the two most common research designs in publications. In the study, three major themes emerged: implementation of lean on business, integration of lean and six sigma and the effects of lean six sigma on businesses.

Practical implications

The study finding informs and educates practitioners and scholars about various qualitative research tools, applications and methods of implementing lean six sigma tools in different industry sectors.

Originality/value

The study uses bibliometric analysis to propose a novel categorization of research published in IJLSS and to report on the utilization of various lean tools in the journal. The study provides guidance for new future research besides offering a thorough introspection of the lean and six sigma domains.

Details

International Journal of Lean Six Sigma, vol. 13 no. 2
Type: Research Article
ISSN: 2040-4166

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Article
Publication date: 12 September 2020

Niveditha A and Ravichandran Joghee

While Six Sigma metrics have been studied by researchers in detail for normal distribution-based data, in this paper, we have attempted to study the Six Sigma metrics for…

194

Abstract

Purpose

While Six Sigma metrics have been studied by researchers in detail for normal distribution-based data, in this paper, we have attempted to study the Six Sigma metrics for two-parameter Weibull distribution that is useful in many life test data analyses.

Design/methodology/approach

In the theory of Six Sigma, most of the processes are assumed normal and Six Sigma metrics are determined for such a process of interest. In reliability studies non-normal distributions are more appropriate for life tests. In this paper, a theoretical procedure is developed for determining Six Sigma metrics when the underlying process follows two-parameter Weibull distribution. Numerical evaluations are also considered to study the proposed method.

Findings

In this paper, by matching the probabilities under different normal process-based sigma quality levels (SQLs), we first determined the Six Sigma specification limits (Lower and Upper Six Sigma Limits- LSSL and USSL) for the two-parameter Weibull distribution by setting different values for the shape parameter and the scaling parameter. Then, the lower SQL (LSQL) and upper SQL (USQL) values are obtained for the Weibull distribution with centered and shifted cases. We presented numerical results for Six Sigma metrics of Weibull distribution with different parameter settings. We also simulated a set of 1,000 values from this Weibull distribution for both centered and shifted cases to evaluate the Six Sigma performance metrics. It is found that the SQLs under two-parameter Weibull distribution are slightly lesser than those when the process is assumed normal.

Originality/value

The theoretical approach proposed for determining Six Sigma metrics for Weibull distribution is new to the Six Sigma Quality practitioners who commonly deal with normal process or normal approximation to non-normal processes. The procedure developed here is, in fact, used to first determine LSSL and USSL followed by which LSQL and USQL are obtained. This in turn has helped to compute the Six Sigma metrics such as defects per million opportunities (DPMOs) and the parts that are extremely good per million opportunities (EGPMOs) under two-parameter Weibull distribution for lower-the-better (LTB) and higher-the-better (HTB) quality characteristics. We believe that this approach is quite new to the practitioners, and it is not only useful to the practitioners but will also serve to motivate the researchers to do more work in this field of research.

Details

International Journal of Quality & Reliability Management, vol. 38 no. 4
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 7 January 2025

Yigit Kazancoglu, Jose Arturo Garza-Reyes, Mohammed Elgharbaoui and Chaymae Abbana Bennani

This study aims to explore the implementation of operational excellence (OpEx) within the Moroccan automotive industry, focusing on its perception, adoption and integration into…

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Abstract

Purpose

This study aims to explore the implementation of operational excellence (OpEx) within the Moroccan automotive industry, focusing on its perception, adoption and integration into organizational structures.

Design/methodology/approach

This research uses a qualitative, exploratory design, using semi-structured interviews with eight key experts from various ecosystems within the Moroccan automotive industry. A purposive expert sampling method was used to select participants with significant experience in OpEx, ensuring a deep, context-specific understanding of its implementation.

Findings

This study reveals that Moroccan automotive firms adopt OpEx practices in a phased, structured manner, beginning with foundational methodologies such as Lean manufacturing, 5S and Kaizen, before progressing to advanced tools like Six Sigma. The integration of these practices is typically supported by dedicated teams within engineering and production departments, with some firms establishing specialized OpEx departments reporting directly to plant directors. While notable progress has been made in the adoption of OpEx, significant challenges remain, particularly regarding the technical expertise required for advanced methodologies like Six Sigma. Nevertheless, strong support from international parent companies and Morocco’s highly integrated automotive ecosystem has been identified as key enablers in accelerating the adoption of OpEx best practices.

Research limitations/implications

The generalizability of this study is constrained by its focus on a specific industry and region. While the qualitative findings provide valuable insights into the Moroccan automotive sector, further research is needed to broaden the scope across different industries and geographical contexts. Future studies could explore the application of OpEx practices in other developing economies or investigate the role of Industry 4.0 technologies in enhancing OpEx outcomes.

Originality/value

This study contributes to the limited body of research on OpEx implementation in developing economies, offering empirical insights from the Moroccan automotive industry. The findings provide practical insights for industry practitioners and theoretical contributions toward understanding how OpEx practices can be adapted and scaled within the unique context of emerging economies.

Details

International Journal of Lean Six Sigma, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-4166

Keywords

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