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A significant amount of work has been done on new product development (NPD); however, studies on the flexibility aspect in NPD are scant. This study aims to investigate the relationship between NPD flexibility and five infrastructural factors, namely, marketing and manufacturing integration practices (MMIPs), advanced human resource practices (AHRPs), supplier integration practices (SIPs), operational improvement practices (OIPs) and advanced manufacturing technologies (AMTs).

The study applies a questionnaire-based survey approach to examine the proposed relationships between different variables and NPD flexibility. Using a 39-item questionnaire, 262 valid and usable responses were collected from Indian manufacturing firms. Data were analysed using principal component analysis and confirmatory factor analysis. Further, structural equation modelling was applied to examine the contribution of different infrastructural factors to NPD flexibility.

In light of the empirical evidence produced in this study, the study suggests that MMIPs, AHRPs, SIPs, OIPs and AMTs have a direct, positive and significant influence on NPD flexibility. Among all the predictors, SIPs are the strongest predictor of NPD flexibility, followed by OIPs and AMTs.

The findings extend prior studies of NPD by broadening the theory related to NPD flexibility. Practitioners should take a macro approach and focus on several practices to enhance flexibility in NPD.

Unlike earlier studies that provide limited empirical evidence on NPD flexibility and deal with the concept in isolation, this empirical study applies a systematic approach to understand factors influencing NPD flexibility.

The purpose of this paper is to investigate the underlying relationships between entrepreneurial orientation and supply chain flexibility (SCF) in a market characterised by several uncertainties.

The study applies an explanatory sequential mixed method, in which an analytical approach is proposed and validated to establish the underlying relationships between environmental uncertainties, SCF, and entrepreneurial orientation. Thereafter, a focus group study is carried out to explain the findings of a case study analysis.

The study evaluates and prioritises dimensions of entrepreneurial orientation to develop SCF in a market characterised by several environmental uncertainties. It also develops a structured, effective, and flexible methodological approach to establish the relationships between environmental uncertainty, SCF, and entrepreneurial orientation.

The study is limited to a single firm; therefore, the use of larger sample size can improve its generalisability.

Supply chain practitioners should emphasise on innovative culture to support SCF. The study also proposes an analytical approach to improve flexibility in the supply chain.

The study contributes to the area of interdisciplinary research by developing an integrated analytical approach that identifies and brings together concepts that existed in the disparate form in supply chain, flexibility, and entrepreneurship literature.

The purpose of this paper is to develop an understanding of factors and their associated attributes that largely influence achievement of manufacturing flexibility.

Using two sequential phases consisting of literature review, plant visits and focus group interviews, the study identifies key factors that influence manufacturing flexibility and develop and validate these factors through postal survey. In total, 211 responses from multiple industries were collected to analyze the data.

The study identifies and develops eight factors and their associated 39 attributes that largely influence achievement of manufacturing flexibility. Out of eight underlying constructs, operational improvement practices construct reported highest level of variance followed by advanced manufacturing technology, human resource practices, supplier flexibility, supplier integration, customer integration, product-process technology integration and marketing and manufacturing integration.

The scope of the study is limited to the plant level. Therefore, other strategic-level factors, such as business strategy, the amount of investment, leadership quality have not been addressed in this research.

The findings can assist managers in improving the level of manufacturing flexibility by specifying key factors essential for achievement of manufacturing flexibility. An important implication for managers is that identification of factors should be followed by proper assessment and implementation so as to remain competitive in the market.

The findings provide insight into the factors that facilitate in achievement of manufacturing flexibility.

The purpose of this paper is to explore different drivers and volume flexibility strategies employed in manufacturing firms. It also examines contingent factors, which determine volume flexibility requirement in manufacturing firms.

Using a multi-case study approach, the study examines and analyses drivers, strategies and contingent factors that affect volume flexibility in four Indian manufacturing plants belonging to automobiles, auto ancillary, fashion apparel and electrical industry.

The empirical analysis suggests various drivers of volume flexibility and different strategies employed by firms to enhance flexibility. The study also illustrates various contingent factors that determine the need of volume flexibility in firms.

The sample of the study is majorly confined to the northern region of India. Methodologically, the analysis is solely based on the qualitative data.

The study suggests practitioners to consider a range of contingent factors, while evaluating the need of volume flexibility in manufacturing plants. Rather than relying on a single strategy, a mix of strategies should be used to develop volume flexibility in firms.

The identification of a range of strategies employed by volume flexible firms as well as contingent factors that need to be evaluated before employing volume flexibility are the major contributions of this study.

The study aims to conceptualize and empirically develop an instrument to measure manufacturing flexibility development practices in firms.

Using a dataset of 315 responses, a series of procedures were used to develop, modify and refine item measures of constructs to enhance their reliability and validity. Further, following a competing model strategy, alternative models were compared to finalize the manufacturing flexibility development practices.

The study develops 36-item instrument capturing eight distinct constructs that influence manufacturing flexibility development, namely operational improvement practices, supplier integration practices, advanced manufacturing technologies, advanced human resource practices, supplier flexibility, customer integration practices, marketing and manufacturing integration practices and product-process technology integration. The derived factors exhibit an adequate level of consistency, reliability and validity.

Since the external environment is always affected by externalities, tools and technologies used to develop flexibility may also vary over time. Therefore, the developed measurement instrument can be used over the medium term. Further, the statistical generalizability of this study cannot be drawn beyond the scope of this sample.

The derived items measure and their underlying factor structure facilitates practitioners to identify areas that need attention. Practically, practitioners should strive to improve multiple factors that influence manufacturing flexibility to arrive at the full realization of flexibility.

This study is probably the first to develop an instrument for assessing the factors influencing the potential of manufacturing flexibility.

The purpose of this paper is to propose a novel hybrid approach to assess marketing-based flexibility with respect to its source factors, enablers and attributes.

The study demonstrates an application of a hybrid principal component analysis (PCA)-analytical hierarchical process (AHP)-multi-grade fuzzy approach (MFA) to measure marketing-based flexibility. Using PCA method, attributes, enablers and source factors of marketing-based flexibility were identified and a conceptual model was developed. AHP and MFA were used to compute marketing-based flexibility index.

The proposed approach measures existing level of marketing-based flexibility and therefore it identifies weak areas that should be taken care to improve flexibility.

The scope of the study is limited to plant level. The validity of the proposed approach is shown using a case study. For generalisation point of view, the application of this proposed approach should be investigated in a large number of firms in different industrial settings.

The study gives a reliable and valid method, which combines both statistical and MCDM techniques to measure existing level of flexibility and identify weak areas for flexibility improvement.

The findings provide insight into factors that should be worked upon to improve flexibility.

This paper aims to explore the factors influencing the behavioural intention of Gen Y consumers to avail omnichannel service and to identify the relative influence of predictors in explaining the behavioural intention of Gen Y consumers to use omnichannel service.

Data collected through surveys from 287 Gen Y consumers has been analysed through structural equation modelling to examine direct and mediated relationships between the constructs influencing behavioural intention to use omnichannel service.

Findings indicate that perceived ease of use, social influence, perceived trust, and personal innovativeness positively affect behavioural intention to use omnichannel service, with the result accounting for 48% of the variance. We also demonstrate that perceived value and perceived ease of use mediate the association between personal innovativeness and behavioural intention to use omnichannel service.

The study provides valuable insights into adopting technology-based offerings for Gen Y customers. The presented model can be extended for analysing consumers' behavioural intentions by considering additional variables, such as consumer personality traits and diverse cultural settings. The study may help managers and policymakers formulate a consumer-focussed strategy to win over modern retail consumers.

This study explores the behavioural intention of Gen Y consumers in availing omnichannel services. Further, the study contributes to the technology acceptance model (TAM), unified theory of acceptance and use of technology (UTAUT) or UTAUT2 theories that may need to be extended in the omnichannel shopping context.

The study aims to assess and prioritise the enablers of manufacturing flexibility by evaluating the degree of environmental uncertainty and manufacturing flexibility in an uncertain environment.

The study proposes a methodological approach based on fuzzy quality function deployment (FQFD), fuzzy analytical hierarchical process (FAHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) to assess and prioritise enablers of manufacturing flexibility in an uncertain environment.

The study proposes a methodological approach that can facilitate firms to concentrate on preferred enablers and assist them in formulating a strategy to develop manufacturing flexibility. The empirical case study analysis of an Indian auto-air conditioning manufacturing firm was done to illustrate the effectiveness, flexibility and feasibility of the proposed approach.

The proposed approach is limited to manufacturing flexibility. This study does not consider inter-dependencies among environmental uncertainties.

The proposed methodological approach can assist practitioners in the identification and development of the preferred enablers to improve manufacturing flexibility. Thus, practitioners can invest strategically in the right resources to improve manufacturing flexibility.

The study proposes and validates a methodological approach that simultaneously addresses drivers and enablers of manufacturing flexibility; therefore, it aims to fill the gaps of earlier studies that have majorly studied flexibility concept in an isolated way.

With gaining popularity, online communities are increasing. It is leading to the data and information overflow. So, there are some challenges like cyber frauds, cyberbullying, etc. while engaging with online communities. Not only this, anonymity of the participants, stress and racism are also big challenges in online communities' interaction. Online harassers' attack tactics have changed over time. In addition, there are challenges like quality of discussion, inequality in participation of the users, etc. may scale online communities towards incitement and activism. Therefore, this study will try to analyse these challenges for overall benefit of the society.

The underlying fuzzy set theory is employed to handle the fuzziness of users' perceptions since the attributes are expressed in linguistic preferences. Through exhaustive literature review, the authors have identified 15 challenges. These challenges are further categorised as cause and effect by using DEMATEL (Decision-Making Trial and Evaluation Laboratory) approach.

Lack of strategic planning and uninspired discussions between users has emerged as a major challenge in cause category. This study further demonstrates how individual challenge can be managed and developed to navigate the online communities to maintain a healthy environment in society.

Results are based on limited dataset. Therefore, findings cannot be generalised for all online communities.

The research findings offer a suitable direction to policymakers to formulate and design policies, laws and regulations to increase user engagement in the online community. The study is beneficial to firms and researchers in understanding the factors influencing effective management of online communities.

The study aims to synthesize existing knowledge and proposes a research framework for building a resilient supply chain (SC) through artificial intelligence (AI) technology. It also identifies existing literature gaps and paves the way for a future research agenda.

A systematic literature review has been carried out to identify the peer-reviewed articles from Scopus and Web of Science databases. Then, the selected articles published between 2012 and 2023 are analyzed using descriptive and thematic analysis methods to unearth research gaps and offer new research directions.

Descriptive and thematic analysis reveals the overall development of literature on the role of AI for supply chain resilience (SCR). Based on the findings of the thematic analysis, the motivation, application, capability and outcome (MACO) framework has been developed and propositions have been proposed. Several future research directions have also been suggested in terms of theory, context and methodology (TCM).

The study provides a fresh perspective on the integration of AI technology within the realm of SCR. The developed MACO framework serves as a practical tool for supply chain management (SCM) professionals, offering a nuanced understanding of AI's applications across various functional areas to streamline operations, minimize waste and optimize resource utilization, thereby helping them in strategic planning.

This study contributes to the literature on the role of AI for building SCR by uncovering gaps, offering research directions and developing propositions for future research directions.