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This paper aims to identify and analyze the challenges for the Varanasi handloom industry after the COVID pandemic by considering their impact on different sections of the weavers and subsequently suggest the best possible solution for the same.

A combined approach of expert opinion and in-depth literature reviews are used to identify the challenges, and a multicriteria decision-making tool is used to rank the challenges for the type of weaver.

This research provides an elaborated view of the problems faced by the handloom industry after the COVID pandemic and suggests that the success of the handloom business is subjected to the eradication of a wide number of challenges according to the type of weaver.

The findings of this research will help the policymakers to make and align their policies and strategies for the upliftment of the Varanasi handloom industry efficiently and effectively.

To the best of the authors’ knowledge, this is the first kind of study that focuses on identifying and prioritizing the barriers affecting the success of the Varanasi handloom industry after the COVID pandemic. Furthermore, the uniqueness of this research lies in its ability to study all three independent sections of the handloom industry, having different capabilities and limitations.

This study aims to explore the essence of the omnichannel in the handloom industry’s development and to identify, analyse and estimate the barriers obstructing the implementation of the omnichannel in the handloom industry of India.

A descriptive literature review and expert opinion are used to identify the barriers obstructing the successful realisation of the omnichannel in the handloom industry of India. Moreover, interpretive structural modeling and the matrix of cross-impact multiplications applied to classification are used to analyse and estimate the impact of these barriers.

This research suggests the implementation of the omnichannel is subjected to several barriers, specifically lack of government support and policies, uncertainty in business contract partners, poor reverse logistics system, etc.

This research explores the contribution of the handloom industry to the socioeconomic development of the rural and semi-urban Indian population. It also explores the need for government support for the survival and growth of the handloom industry. It also explains how omnichannel can support this industry for its survival and its overall development. Furthermore, factors inhibiting the implementation of the omnichannel in the handloom industry are identified and evaluated based on their over impact.

According to the dietary needs of celiac people and very limited variety of commercially available foodstuff, the demand for gluten-free products is increasing every day. Keeping this in view, the present study aims to develop healthier gluten-free chicken products by using different cereal sources and to determine the effect of substitution of wheat flour with gluten-free flours on quality of chicken products.

Buckwheat, chickpea and rice flours were used as gluten-free flours for the production of chicken products. The physical (yield parameters, crust colour), chemical (proximate composition, caloric value, pH) and sensorial properties of coated chicken products were measured. Duncan's multiple range test and principles component analysis were performed.

Gluten-free flours were significantly effective on yield parameters, colour, moisture, protein, lipid and caloric value of the samples (p < 0.05). The results showed that gluten-free chicken products had better pickup, lighter appearance, higher cooking yield and moisture, lower cooking loss, oil absorption, lipid and caloric values compared to commercial wheat flour coated control. Regarding the overall impression rank sums, the panellists were more preferred gluten-free products than control group. The samples coated with chickpea flour were best rated by the panellists. The results of the study suggested that the use of chickpea coating flour could be best nutritionally and sensorially suitable option for producing gluten-free chicken product.

This study offers potential healthy alternatives to increase the variety of gluten-free products that celiac people desperately need today.

The purpose of this paper is to systematically review the platform literature and synthesize the various topics of research into a common framework to reveal the relations between platform-based service innovation, system design and other platform-related factors.

A quantitative descriptive analysis led to an overview of the distribution of research focuses of the 187 sample articles identified by a well-established search strategy. A qualitative in-depth review was then used to clarify the detailed research topics and generate an overall conceptual model to link them, with a focus on platform-based service innovation and system design.

In total, 11 research topics of three research perspectives were identified and linked by a framework that accounts for the relationships between platform-based service innovation and system design and their influences on platform evolution. A small panel of industry experts validated the accuracy and utility of the proposed framework.

This paper provides an integrated framework for separately developed research perspectives and the topics investigated in the platform literature. Through the proposed framework, this paper helps to improve the knowledge on platform study and management, and lays a foundation for exploring the research opportunities in platform-based service innovation and system design.

Cross-functional teams engage in developing platform projects which become the basis of many smaller projects. The purpose of this paper is to examine how project teams engage in front-end plan formulation and backend work implementation. This paper shows the critical linkage role of platform product practices.

This study examines the conceptual framework and research model by using a survey questionnaire for the target respondents of product development managers from the USA and Korea. After refining processes, this study determines the items for each variable for the large-scale survey.

Results suggest that when heavy-manager and customers are jointly or separately involved with a project team for the formation of shared team purpose and mission, then there would be differences in terms of information quality, shared team purpose and mission and the project outcomes. If the primary roles of heavyweight leadership and customer involvement are to improve information quality in terms of reduction of uncertainty and equivocality, then the project team is empowered enough to work on the formation of shared team purpose and mission on their own. Platform product practices are a linkage between front-end planning and back-end work doing which guides more specific projects with shared purpose and performance goals.

As the data collection was limited to the USA and Korea, generalizability across diverse contexts requires caution. However, the findings provide meaningful insight on how to manage projects in an environment of increasing complexity and ambiguity.

This study provides interesting insight into how project teams approach platform product development. Based on the empirical test, this study shows how cross-functional teams integrate front-end project plan formulation and back-end project work implementation. This study also presents how heavyweight manager and customer involvement addresses the front-end information challenges and influence platform product practices.

This study empirically tests the role of fuzzy front planning in impacting project team success. In particular, this study highlights the dynamic relationships between heavyweight managers and customer involvement, information quality (i.e. uncertainty and equivocality), and the nature of team purpose and mission which are all crucial for effective cross-functional teamwork.

The purpose of this study is to investigate the impact of user-driven innovation (UDI) and employee intrapreneurship (EI) on the innovation performance of platform enterprises through the mediating role of market intelligence responsiveness (MIR) and the moderating role of knowledge and information resource acquisition (KRA and IRA, respectively) between MIR and innovation performance.

Data were collected from 167 platform enterprises in northern, eastern and southern China with survey questionnaires. Participants were mainly middle and senior managers with a comprehensive grasp of the enterprises' information.

The results indicated that both UDI and EI, particularly synergy, positively influenced the innovation performance of platform enterprises. Furthermore, higher innovation performance resulted from high congruence between UDI and EI, and the innovation performance of enterprises increased when UDI and EI shifted from being incongruent to congruent. Lastly, MIR played a mediating role in this relationship, and both KRA and IRA played a positive moderating role between MIR and innovation performance.

Platform enterprises should pay attention to external users and internal employees to achieve their development goals and establish tripartite cooperative relationships involving firms, employees and users. Enabling platform enterprises to develop continually and in a healthy way requires the integration and utilization of all types of resources.

This was an empirical study on the impact mechanism of employees and users on the innovation performance of platform enterprises in China.

The study aims to analyze factors impacting firms’ success and persistence in a digital platform competition using the structure-conduct-performance (SCP) framework. The study also includes real-life cases that are beneficial to academicians and practitioners to understand and develop strategies for success and persistence during uncertainty.

A literature review to identify the factors that impact success and persistence in a digital platform competition was conducted following Webster and Watson (2002). Findings were integrated into a SCP framework to examine and understand the identified factors’ relational impact.

While analyzing factors under the SCP framework, all factors were divided into three categories: those impacting positively, those impacting negatively and those with ambiguous impact on the success and persistence in digital platform competition. Digital platform firms can exploit the positively impacting factors to increase market share by being distinctive from other digital platform firms and becoming dominant by withstanding competition. On the other hand, negatively impacting factors increase barriers to entry, intensify competition and reduce the distinctiveness of digital platform firms. Lastly, a few factors may have either a positive or a negative impact depending upon the particular characteristics of the firm/industry.

The study opens the scope for future research on empirically testing the developed conceptual framework and relationships by developing propositions to posit the possible impact of these factors on digital platforms’ success and persistence.

The study contributed to the existing literature by using SCP framework to analyze the factors affecting firm’s success and persistence in a digital platform competition. Also, the study has discussed the relational impact of factors rather than their impact in isolation.

This study aims to present the numerical analysis of exergy transfer and irreversibility through the discrete filling of high-porosity aluminum metal foams inside the horizontal pipe.

In this study, the heater is embedded on the pipe’s circumference and is assigned with known heat input. To enhance the heat transfer, metal foam of 10 pores per inch with porosity 0.95 is filled into the pipe. In filling, two kinds of arrangements are made, in the first arrangement, the metal foam is filled adjacent to the inner wall of the pipe [Model (1)–(3)], and in the second arrangement, the foam is located at the center of the pipe [Models (4)–(6)]. So, six different models are examined in this research for a fluid velocity ranging from 0.7 to7 m/s under turbulent flow conditions. Darcy Extended Forchheimer is combined with local thermal non-equilibrium models for forecasting the flow and heat transfer features via metal foams.

The numerical methodology implemented in this study is confirmed by comparing the outcomes with the experimental outcomes accessible in the literature and found a fairly good agreement between them. The application of the second law of thermodynamics via metal foams is the novelty of current investigation. The evaluation of thermodynamic performance includes the parameters such as mean exergy-based Nusselt number (Nu_e), rate of irreversibility, irreversibility distribution ratio (I_DR), merit function (MF) and non-dimensional exergy destruction (I^*). In all the phases, Models (1)–(3) exhibit better performance than Models (4)–(6).

The present study helps to enhance the heat transfer performance with the introduction of metal foams and reveals the importance of available energy (exergy) in the system which helps in arriving at optimum design criteria for the thermal system.

The uniqueness of this study is to analyze the impact of discrete metal foam filling on exergy and irreversibility in a pipe under turbulent flow conditions.

Good market timing skills can be an important factor contributing to hedge funds’ outperformance. In this chapter, we use a unique semiparametric panel data model capable of providing consistent short period estimates of the return correlations with three market factors for a sample of Long/Short equity hedge funds. We find evidence of significant market timing ability by fund managers around market crisis periods. Studying the behavior of individual fund managers, we show that at the 10% significance level, 17.12% of funds exhibit good linear timing skills and 21.32% of funds possess some level of good nonlinear market timing skills. Further, we find that market timing strategies of hedge funds are different in good and bad markets, and that a significant number of managers behave more conservatively when the market return is expected to be far above average and more aggressively when the market return is expected to be far below average. We find that good market timers are also likely to possess good stock selection skills.