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Due to the growing complexity involved in leveraging the endless possibilities of ICT on all levels, the technical competence of faculties of higher education institutions (HEI) and effective methods for fostering e-readiness has become questionable.

This research has developed and validated an empirically supported e-readiness scale, which can be used by HEIs to assess faculty members’ preparedness toward online teaching. The measurement model and the structural model were developed as the results of exploratory factor analysis and confirmatory factor analysis (n = 245). The previously identified components and their indicators were validated using the structural models and the final scale was developed with five dimensions (“online technological readiness, pedagogical readiness, institutional readiness, learning and delivery readiness and content readiness”).

The faculties’ e-readiness assessment tool, as a useful tool, could aid institutions in identifying problems that affect the implementation of e-learning or digitalization in the institutions and developing strategies in response.

Like any research this research also has some limitations and can be considered as future research probability like the responses for this research were collected from HEI in India; however, a cross-cultural study can be conducted to understand the parameters across the globe. Although the psychometric qualities of the e-readiness scale are acceptable, additional research in various higher educational environments, both nationally and internationally, is required to further establish the scale’s relevance, validation and generalizability.

Although many scales have been developed to assess the readiness level in the education sector, a scale, that holistically measures, the readiness level of faculties from an overall perspective was required. This scale can be used to recognize the e-readiness level of teachers in HEIs. This scale can also help the institutions assess the readiness level of their faculty members and address any improvements required in their teaching and learning pedagogy, further acknowledging training needs.

This paper has three purposes – first, to establish the direction of relationship between market orientation (MO) and organizational learning (OL); second, to assess the effect of MO and OL on organizational innovativeness (OI); and third, to examine the mediating role of OL on the relationship between MO and innovativeness.

This research was carried out with a sample size of 321 respondents from Indian private and government/public sector industries, applying structural equation modeling (maximum likelihood estimation technique) using AMOS 16. To check the mediation, the study adopts the method suggested by Baron and Kenny (1986).

The study finds that MO acts as an antecedent to OL, and the direct effect of both the variables on innovativeness is positive. The study also exhibits that though OL plays a role of mediator between MO and innovativeness, yet the mediation is partial. However, the study also demonstrates the dominance of OL over MO to improve OI.

The study is survey-based, where self-reporting bias can occur. The study considers the cross-sectional data only, whereas OL is a dynamic process which constrains the ability to make causal relations. Therefore, to firmly show relationships, the use of longitudinal study is necessary. Moreover, the study mainly includes Indian organizations. The diverse sample from different multi-national companies could lead to a better understanding of the model.

The study suggests that organizations need an inclination toward market information to improve their innovativeness in changing the business environment. The innovativeness of the organization can be improved further with the introduction of proper organizational learning processes which includes both adaptive and generative learning. The partial mediation of OL suggests that firms have several other ways to improve innovativeness; however, learning offers opportunity to process the external information adequately that can be combined with other resources to enhance innovativeness.

The study contributes to the literature in three ways. First, it addresses a gap in literature by responding to issues regarding the direction of relationship between MO and OL. It also provides empirical evidence that MO precedes OL. Second, it bridges the gap between MO and innovativeness literature by providing empirical evidence. Third, it also demonstrates the possible mediating role of OL between MO and innovativeness.

In this study the comparison is presented for the variation in cross-sectional shape along the height of the building model. For this purpose Model B and Model C are having the considerable variation and Model A result can be easily predicted on the basis of the result of Model B and C while Model X is considered for the validation purposes only and it is well established that the results are within the allowable limit. This paper aims to discuss these wind generated effects in the tall building model.

Computational Fluid Dynamics (CFD) in ANSYS: CFX is used to investigate the wind effects on varying cross-sectional shape along the height of the building model.

From pressure contours, it was observed that shape and size of the face is independent of the pressure distribution. It is also observed that pressure distribution for the windward face (A) was less than the magnitude of the leeward face for both models. The leeward face and lateral faces had similar pressure distribution. Also slight changes in pressure distribution were observed at the periphery of the models.

This study has been performed to analyse and compare the wind effect on tall buildings having varying cross sections with variation of different cross sections along the height. Most of the studies done in the field of tall buildings are concentrated to one particular cross-sectional shape while the present study investigates wind effects for combination of two types of cross sections along the height. This analysis is performed for wind incidence angles ranging from 0° to 90° at an interval of 30°. Analysis of wind flow characteristics of two models, Models B and C will be computed using CFD. These two models are the variation of Model A which is a combination of two types of cross section that is square and plus. Square and plus cross-sectional heights for Model B are 48 m and 144 m, respectively. Similarly, square and plus cross-sectional heights for Model C are 144 m and 48 m, respectively. The results are interpreted using pressure contours and streamlines, and comparative graphs of drag and lift forces are presented.

This paper is based on the personal connections of the four authors to Shivaji Park, the largest public space in Mumbai. Three of the authors are childhood friends and were once long-term residents of that area. The focus of this article is Shivaji Park, anecdotally the largest park in the island city of Mumbai, with its historical connotations and its ongoing role as a relational and cultural artefact in the lives of these authors. The ongoing member status of all four authors in connection with the public space is explored despite all of them now ceasing to be locals.

This article uses a qualitative approach utilising informal conversations between the four authors recorded on zoom as the research method. Supported by belonging and emotional reflexivity as conceptual frames, it investigates how the spatial context fosters a binding relationality, which is ongoing despite the now disparate locations of the authors.

Based on a critical analysis of the recorded conversations between the authors the findings highlight that belonging/unbelonging centres around emotionally tinged representations of place.

The core of this paper rests in the emotional connections between the authors based on their collective memories with a public space and its surrounding areas as a focus. The use of informal conversations is crucial in teasing out nuanced aspects of data collected based on human relationalities. The paper emphasises the repercussions of ongoing changes stemming from urban progress. They incur emotional and human costs through a “culling” of connections and belongings.

This case study outlined the strategic and organizational issues faced by an entrepreneurial firm operating in an emerging economy. While the traditional view is “more for more” and “less for less” with respect to quality and price, the medical devices sector demands “more for less” in an emerging economy such as India, i.e. the market demands quality products at affordable prices. This case was written to equip students with the knowledge of how entrepreneurs can overcome certain barriers and use technology to recognize and exploit an opportunity, using the Indian health-care industry as an example. The key learning outcomes for the case include the following:

• Entrepreneurs define their own market, come up with innovations and create a completely new market with suitable customer value proposition.

• Entrepreneurial opportunity recognition comes from being prepared, having prior knowledge of customers and the market and having a strong network.

• An entrepreneurial preference for error of omission or commission is the determining factor when deciding whether to exploit a recognized opportunity or not.

• Entrepreneurs exploit an opportunity by giving special emphasis on their entry and risk reduction strategy.

• A technology-based product with a combination of services that will create its own product ecosystem with data is the primary goal.

The Indian health-care sector is one of the largest sectors in India and incorporates the medical devices sector, and the heart monitor segment especially represents a huge untapped opportunity. India has the highest number of deaths because of heart disease in the world, yet there is no mechanism for affordable heart monitoring, which results in large number of deaths. As existing products are either B2B or unaffordable, there is an opportunity to leverage technology to come up with cgiq products similar to blood pressure and sugar monitors. However, there are certain challenges unique to the market and product. The case described how two young entrepreneurs founded a company called Agatsa and overcame certain challenges to create a credit card-sized ECG device and the importance of building an ecosystem in a new market. Some specific issues that the case posed included the following: will it be possible for Agatsa to come up with an ecosystem to monitor heart functioning and will that be accepted by the stakeholders in an emerging market such as India? Should Agatsa have a product-driven strategy or a data-driven strategy? Will Agatsa be able to find the right business model to create and capture value?

MBA in courses such as entrepreneurship development, new venture creation and entrepreneurship in emerging markets.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.

The purpose of this paper is to identify and analyze the interactions among different enablers of agile manufacturing system (AMS). The existing enablers available in the past literature are scattered and not able to meet specific requirements of the customers. So, it becomes a necessity to encapsulate these enablers in appropriate proportions to enable traditional organizations to AMS. To fill this gap total interpretive structural modeling (TISM) and MICMAC analysis-based framework model have been developed to understand the mutual interactions between among the enablers.

Identification of enablers followed by application of TISM, which is an innovative version of ISM and MICMAC analysis, is used to study and analyze the mutual interactions between identified enablers.

The result reveals that top management support, organizational structure and information technology integration have strong driving power and weak dependence power and are at the lowest level in the TISM model hierarchy, while the outcome enablers of AMS have low-driving power but have high-dependence power.

This model is developed on the basis of inputs from few experts and may not reflect the opinion of whole industry community.

Top management must stress on enablers having strong driving power for efficient implementation of AMS. Managers in the area of manufacturing may drive useful insights from the empirical study presented in this paper. Managers should plan an effective strategy for proper implementation of AMS which makes organization more agile, productive, competitive and profitable.

TISM-based framework structural model has been proposed for industry or organization which is a new effort for implementation of AMS.

In the past, the insufficiency of the traditional business practices to meet vibrant customer demands in continuously changing business environment has severely affected organizational competitiveness. The purpose of this paper is to develop and propose a new framework for smoother and effective implementation of agile manufacturing by identifying and integrating a set of significant agility principles and techniques.

The present work proposed a framework for agile manufacturing by deploying the comparative analysis of 17 frameworks published in peer-reviewed journals.

The proposed conceptual framework constitutes of eight pillars for agile manufacturing implementation. The proposed framework relies on a strong foundation of leadership support. The roof of the proposed framework of agile manufacturing is supported by the pillars constituted of seven elements, an industry must deploy for successfully implementing agile manufacturing, namely, human resource-related issues, organizational culture-related issues, supplier-related issues, customer-related issues, innovation, concurrent engineering and information technology.

This work is the first attempt, in the best knowledge of the authors, to employ comparative analysis for critically analyzing a wide range of agile manufacturing frameworks. The findings of this study will assist researchers and managers in agile manufacturing implementation in more a smoother and effective way in manufacturing industries.

The purpose of this paper is to investigate the effects of agile manufacturing practices on business performance of Indian medium and large-scale manufacturing industry.

A survey questionnaire was designed to attain the research objectives. Agile manufacturing questionnaire was sent to around 500 randomly selected manufacturing organizations in the northern spectrum of India through e-mails and posts, out of which 154 usable responses have been received. This study investigates the inter-relationships between various agile manufacturing implementation practices and business performance measures using various statistical techniques. This paper deploys Games–Howell hoc test to establish the statistical significance of business performance improvements, progressively accrued over a reasonable period of time, through holistic agile manufacturing implementation.

The paper validates the contribution of agile manufacturing toward realization of the significant improvements in various business performance measures such as customer-related achievements, financial achievements, business-related achievements, operational achievements, employee-related achievements, and supplier-related achievements. Further, the discriminant validity test has been used in this paper for classifying highly successful and moderately successful organizations.

The paper only concentrated on manufacturing organizations in northern India. The results of this paper cannot generalize across all the sectors and spectrum of Indian manufacturing organizations.

This paper develops an insight into the strong potential of agile manufacturing implementation practices in affecting business performance measures.

The purpose of this paper is to investigate the existing literature on agile manufacturing (AM) to pinpoint critical success factors (CSFs) affecting the successful implementation of agile manufacturing systems.

The study focused on empirical articles published in peer-reviewed journals from 1991 to 2019 (July). In total, 37 empirical studies were shortlisted for analysis as the reliability and validity of the constructs were critically tested using various statistical methods. Further, “Pareto analysis” tool was employed to sort and arrange the factors critical for smoother and effective implementation of AM, in descending order according to their frequency of occurrence.

The present work scrutinizes 37 research papers, resulting in 33 CSFs that affect AM implementation. Using Pareto analysis, 8 CSFs are regarded as “vital few,” which account for 82.66 percent of occurrence, and the remaining 25 CSFs are regarded as “useful many,” which account for 17.34 percent of occurrence. The managers must focus on successful deployment of “vital few” CSFs, as they are more critical in achieving business excellence through the successful implementation of AM, in comparison to other 25 “useful many” CSFs.

To the best knowledge of authors, this work is the first attempt to employ Pareto analysis for critically analyzing a wide range of AM CSFs studies. The findings of this study will assist researchers and managers in AM implementation in a more smoother and effective way in manufacturing industries.