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Article
Publication date: 20 January 2023

Sakshi Soni, Ashish Kumar Shukla and Kapil Kumar

This article aims to develop procedures for estimation and prediction in case of Type-I hybrid censored samples drawn from a two-parameter generalized half-logistic distribution…

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Abstract

Purpose

This article aims to develop procedures for estimation and prediction in case of Type-I hybrid censored samples drawn from a two-parameter generalized half-logistic distribution (GHLD).

Design/methodology/approach

The GHLD is a versatile model which is useful in lifetime modelling. Also, hybrid censoring is a time and cost-effective censoring scheme which is widely used in the literature. The authors derive the maximum likelihood estimates, the maximum product of spacing estimates and Bayes estimates with squared error loss function for the unknown parameters, reliability function and stress-strength reliability. The Bayesian estimation is performed under an informative prior set-up using the “importance sampling technique”. Afterwards, we discuss the Bayesian prediction problem under one and two-sample frameworks and obtain the predictive estimates and intervals with corresponding average interval lengths. Applications of the developed theory are illustrated with the help of two real data sets.

Findings

The performances of these estimates and prediction methods are examined under Type-I hybrid censoring scheme with different combinations of sample sizes and time points using Monte Carlo simulation techniques. The simulation results show that the developed estimates are quite satisfactory. Bayes estimates and predictive intervals estimate the reliability characteristics efficiently.

Originality/value

The proposed methodology may be used to estimate future observations when the available data are Type-I hybrid censored. This study would help in estimating and predicting the mission time as well as stress-strength reliability when the data are censored.

Details

International Journal of Quality & Reliability Management, vol. 40 no. 9
Type: Research Article
ISSN: 0265-671X

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Book part
Publication date: 14 November 2022

Vidyasagar Gembali, Aalok Kumar and PRS Sarma

The present study discusses the benefits and importance of sociotechnical thinking for the integration of industry 4.0 (I4.0), and their subsequent usefulness in analyzing the…

Abstract

The present study discusses the benefits and importance of sociotechnical thinking for the integration of industry 4.0 (I4.0), and their subsequent usefulness in analyzing the value-added activities and related quality issues, and their implications in the quality 4.0 (Q4.0), product-service systems (PSS) in the organization level/complex systems in the era of I4.0. I4.0 pushed the traditional manufacturing models toward product-service systems; for this transition, social and economic factors influence more, and technological advancements are going more rapidly than the social developments needed for the transition. The integration of social-technical system perspective with I4.0 technologies adoption would improve the value cocreation of PSS. The balance among the sociotechnical systems theory (STST) and I4.0 technologies are necessary for production and logistics organizations. This can be attained by sociotechnical systems thinking because it gives a comprehensive overview for integrating I4.0 and related quality issues in the production and logistics service systems.

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Exploring the Latest Trends in Management Literature
Type: Book
ISBN: 978-1-80262-357-4

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Article
Publication date: 6 December 2019

Stavros Sindakis, Sakshi Aggarwal and Charles Chen

The purpose of this paper is to analyze important theoretical work conducted in the research streams of coopetition dynamics and knowledge flows in the area of start-up…

553

Abstract

Purpose

The purpose of this paper is to analyze important theoretical work conducted in the research streams of coopetition dynamics and knowledge flows in the area of start-up entrepreneurship. The authors see in practice that venture capital (VC) firms are a highly essential component of the environment that gives birth to entrepreneurial ventures, helping them to grow profoundly. Interorganizational collaborations facilitate VC firms to be a beneficial partner because except for providing funding, they also possess knowledge-based resources to support the new business.

Design/methodology/approach

A systematic review of the literature was conducted, using relevant keywords and academic databases. Then, the backward search was implemented to examine the references of the selected papers, and finally, the forward search to explore the citations of the selected papers. After the selection of papers, they were classified according to their content. A thorough search of the extant literature was done in Scopus and Google Scholar using a combination of keywords such as coopetition, knowledge flows, VC firms, interorganizational and inter-firm knowledge dynamics.

Findings

This paper highlights the capability of venture capitalists and provides insights as to how knowledge transfer and sharing between VC firms affect new venture’s growth and prosperity.

Research limitations/implications

This paper attempts to provide new perspectives and explore the significance of interorganizational coopetition and knowledge transfer and sharing between VC firms when they take part in the support and development of new ventures (e.g. start-ups). A theoretical model is proposed via the coopetition dynamics and inter-firm knowledge flows in the VC sector framework.

Originality/value

This paper adds to the existing theoretical knowledge and underlines the topic of interorganizational coopetition and knowledge flows between VC firms. This is the first attempt, on the one hand, to link inter-firm knowledge flows and new venture development, while on the other to examine the dynamics between VC firms and the collective contribution for the growth of start-ups.

Details

Kybernetes, vol. 49 no. 1
Type: Research Article
ISSN: 0368-492X

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Book part
Publication date: 24 November 2023

Amna Farrukh and Aymen Sajjad

A literature review or review article is an integral part of a scientific body of research which synthesizes prior knowledge and provides a holistic overview of a subject domain…

Abstract

A literature review or review article is an integral part of a scientific body of research which synthesizes prior knowledge and provides a holistic overview of a subject domain. While several studies emphasize the significance of literature reviews and include the guidelines for conducting a review, limited studies demonstrated different types of literature review methodologies in a comprehensive way. Accordingly, this chapter presents various types of review methodologies which includes narrative, descriptive, systematic, meta-analysis, hybrid, umbrella, scoping, theoretical, and critical reviews. In addition, the authors' skills including logical reasoning, content analysis, literature mapping, critical writing, and ethical consideration are presented. Further, quality aspects of the literature review are discussed such as the rigor and relevance of the selected studies. Overall, this chapter provides implications for researchers in understanding types of literature review methodologies along with their objectives, strengths, and weaknesses which can assist them in selecting a suitable methodology while conducting a review.

Details

Advancing Methodologies of Conducting Literature Review in Management Domain
Type: Book
ISBN: 978-1-80262-372-7

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Book part
Publication date: 2 December 2024

Sakshi Arora, Divyansha Kumar and Poonam Gulati

This chapter examines the integration of Industry 4.0 (IR 4.0) technologies and sustainability, proposing a people-centric strategy to align industrial progress with environmental…

Abstract

This chapter examines the integration of Industry 4.0 (IR 4.0) technologies and sustainability, proposing a people-centric strategy to align industrial progress with environmental responsibility. Through a synthesis of scholarly insights and practical applications, we delve into the potential of Industry 4.0 to drive economic, social, legal, and environmental sustainability while addressing key challenges and limitations. Acknowledging these obstacles associated with IR 4.0 implementation, including employment displacement and data security risks, we advocate for collaborative efforts among governments, businesses, and society, highlighting the imperative of optimizing the advantages conferred by IR 4.0 while mitigating its adverse effects on sustainability. It calls for strategic investments in education, innovation, and social protection mechanisms to navigate this transition while ensuring equitable and sustainable development for all stakeholders. As these technologies intertwine, it becomes increasingly crucial to establish regulatory frameworks that can endorse the “rule of law” in this ever-evolving legal landscape. Ensuring fairness and effectiveness in regulation is key to navigating this emergent reality. Through fostering synergistic partnerships, embracing sustainable methodologies, and ensuring that the promise of IR 4.0 is realized without sacrificing the fundamental principles of fairness, justice, and human rights, we can envision a future where innovation thrives in harmony with sustainability principles, paving the way for inclusive prosperity.

Details

Impact of Industry 4.0 on Supply Chain Sustainability
Type: Book
ISBN: 978-1-83797-778-9

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Book part
Publication date: 14 December 2017

Stavros Sindakis, Sakshi Aggarwal and Panagiotis Theodorou

The chapter reflects on the coopetition concept and its role in combining cooperation and competition with a paradoxical situation between them. Likewise, it illustrates how…

Abstract

The chapter reflects on the coopetition concept and its role in combining cooperation and competition with a paradoxical situation between them. Likewise, it illustrates how coopetition gains a mutual advantage for the collaborative relationship of value creation, new product development (NPD), knowledge acquisition, and organizational performance in inter-organizations. However, it is necessary to build a friendly approach and proper management to ensure effective coopetition. The rationale, though, is the following: coopetition defines innovation performance; coopetition represents knowledge recombination in both inter-organizational and intra-organizational conditions; the coopetition outcomes state knowledge creation and firm’s innovation that lead to new ideas and new variations improving organizational relationships. At the same time, it is highlighted how the customer relationships are aligned in the enterprises and how knowledge transfer in different alliances influence dynamic and complex character exploring tacit and explicit knowledge. As far as knowledge is concerned in an organization, it illustrates the contribution of two essential elements in coopetition value creation, i.e., knowledge management and intellectual capital. By critically evaluating the following, we encourage coopetition and innovation to recognize knowledge and increase the performance of inter-organizational units. Moreover, the primary way for knowledge assessment in organizations is by collaboration with the competitors. Concluding, our theoretical approach acknowledges that knowledge sharing enables more efficient innovation by linking R&D efforts.

Details

Global Opportunities for Entrepreneurial Growth: Coopetition and Knowledge Dynamics within and across Firms
Type: Book
ISBN: 978-1-78714-502-3

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Book part
Publication date: 14 November 2022

Krishna Teja Perannagari and Shaphali Gupta

Artificial neural networks (ANNs), which represent computational models simulating the biological neural systems, have become a dominant paradigm for solving complex analytical…

Abstract

Artificial neural networks (ANNs), which represent computational models simulating the biological neural systems, have become a dominant paradigm for solving complex analytical problems. ANN applications have been employed in various disciplines such as psychology, computer science, mathematics, engineering, medicine, manufacturing, and business studies. Academic research on ANNs is witnessing considerable publication activity, and there exists a need to track the intellectual structure of the existing research for a better comprehension of the domain. The current study uses a bibliometric approach to ANN business literature extracted from the Web of Science database. The study also performs a chronological review using science mapping and examines the evolution trajectory to determine research areas relevant to future research. The authors suggest that researchers focus on ANN deep learning models as the bibliometric results predict an expeditious growth of the research topic in the upcoming years. The findings reveal that business research on ANNs is flourishing and suggest further work on domains, such as back-propagation neural networks, support vector machines, and predictive modeling. By providing a systematic and dynamic understanding of ANN business research, the current study enhances the readers' understanding of existing reviews and complements the domain knowledge.

Details

Exploring the Latest Trends in Management Literature
Type: Book
ISBN: 978-1-80262-357-4

Keywords

Available. Open Access. Open Access
Article
Publication date: 12 October 2023

Jiju Antony, Arshia Kaul, Shreeranga Bhat, Michael Sony, Vasundhara Kaul, Maryam Zulfiqar and Olivia McDermott

This study aims to investigate the adoption of Quality 4.0 (Q4.0) and assess the critical failure factors (CFFs) for its implementation and how its failure is measured.

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Abstract

Purpose

This study aims to investigate the adoption of Quality 4.0 (Q4.0) and assess the critical failure factors (CFFs) for its implementation and how its failure is measured.

Design/methodology/approach

A qualitative study based on in-depth interviews with quality managers and executives was conducted to establish the CFFs for Q4.0.

Findings

The significant CFFs highlighted were resistance to change and a lack of understanding of the concept of Q4.0. There was also a complete lack of access to or availability of training around Q4.0.

Research limitations/implications

The study enhances the body of literature on Q4.0 and is one of the first research studies to provide insight into the CFFs of Q4.0.

Practical implications

Based on the discussions with experts in the area of quality in various large and small organizations, one can understand the types of Q4.0 initiatives and the CFFs of Q4.0. By identifying the CFFs, one can establish the steps for improvements for organizations worldwide if they want to implement Q4.0 in the future on the competitive global stage.

Originality/value

The concept of Q4.0 is at the very nascent stage, and thus, the CFFs have not been found in the extant literature. As a result, the article aids businesses in understanding possible problems that might derail their Q4.0 activities.

Details

International Journal of Quality & Reliability Management, vol. 41 no. 4
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 31 December 2024

Bente Fatema

This aim of the research is to explore the link between offline and online retail sales through a comprehensive analysis of 15 years of retail sales data in Great Britain. By…

30

Abstract

Purpose

This aim of the research is to explore the link between offline and online retail sales through a comprehensive analysis of 15 years of retail sales data in Great Britain. By quantifying the impact of online sales on offline sales and vice versa on different retail categories, the study seeks to expand upon prior research that often focused on unidirectional relationships or specific retail segments. With channel- and sector-specific dynamics, the present study aspires to shed light on the dynamics shaping the retail industry and provide valuable insights for retailers.

Design/methodology/approach

The present study draws on 15 years of retail sales data in Great Britain to examine the interplay between offline and online sales across various retail categories. By grounding the analysis in the theoretical underpinning of cross-channel synergies and dis-synergies and applying principles of substitution and complementarity in online and offline retail sales, the research aims to quantify how shifts in online retail influence offline sales and vice versa. The study follows a systematic analysis approach that includes analysis of seasonality, autocorrelation, correlation, lagged cross-correlation and time series regression to provide a holistic understanding of the strength and direction of the relationship.

Findings

Among the myriads of findings, the most noteworthy ones are these. It was found that offline sales tend to increase significantly when online sales increase and online sales also increase significantly when offline sales increase. However, the extent of influence offline sales have on online sales is lower than the extent of influence online sales have on offline sales. For instance, it was found that for every one-unit increase in online sales, on average, the offline sales of retail stores increase by 5.82 units, but for every one-unit increase in offline sales, on average, the online sales of retail stores increase only by 0.07 units. This pattern was found true for all categories for retail stores, with predominantly non-food stores showing the lowest increase (0.02) and non-store retails exhibiting the highest increase (0.23). Additionally, evidence suggested that the retail stores can expect a sizable level of offline sales when there are no online sales (β0 = 5155474.1); however, this was not true for online sales if they have no offline sales.

Research limitations/implications

The study deepens our insight into the complex interplay between offline and online sales in the retail sector by providing empirical evidence on how online sales and offline sales interact with each other in a retail setting. It also adds nuances to existing knowledge on the relationship between online and offline sales based on channel and sector-specific dynamics. Such findings, coming from the analysis of a whole retail economy, strengthen the existing body of literature and provide a solid foundation for future research in this area. However, the study would have benefited from including qualitative interviews of different categories of retailers to provide more context and depth on interpreting quantitative patterns.

Practical implications

The study provides practical guidance for retailers on how they can optimize their omnichannel strategies for maximum impact. It also provides insights into the changes in relationship in terms of channel-specific and sector-specific differences. This is particularly important for retailers who operate in those categories of retail as it provides them with an insight into how they can allocate their resources for reaping substantial benefits.

Originality/value

Despite the wealth of research exploring the link between online and offline retail sales, there remains a gap in understanding the complex relationship between these two. This study is one of the first to fill this gap by exploring the link through a comprehensive analysis of 15 years of retail sales data in Great Britain. With these channel- and sector-specific findings, this study adds to the growing body of literature that provides an understanding of the bidirectional relationships between offline and online sales. These strengths strengthen the existing body of literature and provide a solid foundation for future research in this area.

Details

Management Decision, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0025-1747

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Article
Publication date: 9 October 2024

Md. Rahat Khan, Md. Zahir Uddin Arif and Hussain Gulzar Rammal

The study aimed to develop a disruptive production process innovation model from an emerging economy's agro-based dairy farming perspective based on the case of a Bangladeshi…

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Abstract

Purpose

The study aimed to develop a disruptive production process innovation model from an emerging economy's agro-based dairy farming perspective based on the case of a Bangladeshi model dairy farm named Central Cattle Breeding and Dairy Farm (CBBDF), Savar, Dhaka.

Design/methodology/approach

The study used qualitative in-depth interviews, participants and document observation. Around 20 key informants were purposefully selected from the case organization.

Findings

The findings propose two different models for disruptive production process innovation toward sustainable agribusiness dairy farming from an emerging economy perspective and the modified process model from traditional dairy farms to modern dairy based on the stakeholders' (such as consumers, owners, managers and government) demand.

Originality/value

This study is the first attempt to develop a disruptive production process innovation and technology model for the dairy industry and its stakeholders' responsibilities from the experience of an emerging economy. The value of the research is in identifying factors under traditional dairy farming that need to be reduced and eliminated, and the factors under society, health concerns and value-added to existing farms need to be raised as per the global industry standard.

Details

Business Process Management Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-7154

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