Search results

To develop a mathematical and algorithmic approach of avoiding the limitations of deterministically computing the values of energy, time, position and momentum imposed by Heisenberg's uncertainity principle (HUP) which is of profound significance from the point of view of some emerging science and technology like quantum computing, nano scale technology and chaotic dynamical systems.

A parametric method of establishing deterministic solutions for energy and momentum on the basis of quantized energy limits (instead of HUP) if developed in the non‐infinite non‐zero quantized energy limits where hidden deterministic solutions can be obtained for micro/nano structures.

The philosophical foundations of quantum mechanics as developed by Max Planck, Neils Bohrz, Werner Heisenburg, Dirac and Edwein Schrodinger is based on a duality concept of complimentarity notions. In most general logical sense for any physical reality qualitative dualism have to have a quantitative dualism may be hidden or virtual. The upper and lower limits of the dynamical quantum mechanical observables are determined based on the dimensional considerations for the physical constants H, C, G and H₀. The conceptual basis and mathematical framework of the paper in based Norbert Wiener's work on theory of cybernetics and D. Dutta Majumdars' unified cybernetic and general dynamical systems theory.

The testability of the theory needs to be established.

Without challenging HUP this is a contribution of tremendous practical implications.

The case study “PVR Limited at a Crossroads” has been designed with the requirements of strategic management. The learning objectives are as follows:

• Situational analysis – understand the global and Indian media and entertainment industry PESTEL.

• Strategic planning – internal and external environmental analysis – strength, weakness, opportunities and threats (SWOT) analysis helps in achieving the strategic plan.

• Strategy development – to accomplish the turnaround plan, various alternatives are developed; choosing from the possible alternatives is a part of strategic planning.

PVR Limited (PVR) is the largest premium film exhibition company in India. In their annual report for 2019–2020, Chief Executive Officer Gautam Dutta acknowledged, “It was the first time in our more than two-decade history that we witnessed over 100 million patrons entering our premises in a year”. However, with the onset of Covid-19 pandemic in January 2020, things changed for the entertainment industry in India. There were fears of an eminent third wave and the detection of a new Covid-19 variant, Omicron, added to these fears. Being a major player in the game, PVR felt the impact. And even when the business started to reopen, social distancing remained a concern and ticket sales were impacted. Over-the-top viewership rose dramatically at the cost of the multiplex. The lockdown halted film productions worldwide, leading to a shortage of content. Other revenue streams, such as food and beverage, convenience fees and advertising, also came to a halt. Given the circumstances, Dutta was facing the twin dilemma of how to bring customers back to cinema in a post-pandemic world without in any way compromising the security of its patrons and keeping costs under control while investing in social distancing, safety measures and entertainment infrastructure to enhance the cinematic experience.

This case was written for use in Strategic Management classes at the undergraduate and MBA levels. It can be used in both management studies and executive development programs. It is suitable for courses on strategic management and strategic planning focusing on a turnaround strategy. Additionally, the case could be used in consumer behaviour courses in management as the focus of the case is well aligned with discussions related to change in consumer behaviour.

Teaching notes are available for educators only.

CSS 11: Strategy.

Design sensitivities of plates and shells under transient dynamic loads with constraints on displacements and stresses are likely to be highly erroneous if proper care is not taken in selecting appropriate finite element mesh and time step size to be used in the analysis. An accurate value of design derivative is assured if an optimal mesh coupled with a reasonably fine time step size is used. The optimal mesh can be obtained iteratively and a number of examples are solved to demonstrate the importance of controlling discretization errors in space and time.

Robert Mundell is the father of the concept of optimum currency area (Mundell, 1961) and he has since then taught us a great deal more about it (Mundell, 1970, 1999, 2003). President Kennedy reminded his fellow countrymen that it is the strength of the US dollar, bolstered by the strength of the US economy, not the US military arsenal, which contributes to the international leadership of the USA. Saburo Okita sought to explain policy approaches in the framework of economic regional communities in the context of global economic cooperation, and thus responded to the question if we will have one world or several (Okita, 1989, 1994). Indeed, he pioneered the concept of multiple currency areas.

The learning outcomes of this study are as follows:▪ to analyze service attributes that influence customers’ decisions to purchase services;▪ to identify the factors that influence customers’ perceptions of service quality;▪ to identify the “moments of truth” that the service provider (IndiGo) would need to monitor and manage through the service encounter; and▪ to use the Servuction model to analyze the various elements of the service process.

In May 2022, the chief executive officer of IndiGo Airlines - India’s largest passenger airline by market share, Ronojoy Dutta, faced flak over the airline staff's handling of a specially abled child travelling with his parents on IndiGo Airlines. The staff member, reacting to the tantrums of the disturbed child, had refused to allow the boy and his parents to board the flight. He had cited the “risk to other passengers” from the boy as the reason for such a refusal (Biswas, 2022). In spite of the boy’s parents being supported by their fellow passengers, the IndiGo staff member refused to relent, and the flight took off without the trio (Firstpost, 2022). The incident goes viral when a fellow flyer shares a Facebook post describing it first-hand and provokes widespread condemnation of the nation's “preferred airline” (IndiGo, 2023) by citizens and politicians on various social media platforms besides Facebook (Gupta, 2022). Dutta initially supports his employee even as he issues a statement expressing his regret at the “unfortunate incident” (Business Standard, 2022a). The regulatory body for aviation in India, the Directorate General of Civil Aviation, imposes a fine of INR 5 lakh on IndiGo for denying boarding to a specially abled child (Indian Express, 2022). How could an incident like this impact the perception of IndiGo’s service quality? How could Dutta better ensure that IndiGo managed the various touch points with the customer over the entire service encounter – the “moments of truth”? How could he prevent such a fiasco in the future, ensuring that IndiGo remains India’s “preferred airline”?

This case is intended to be taught in an undergraduate or MBA marketing course in a module on service marketing. The case can also form a 90-min module in a service marketing course within an advanced management or executive education program.

Teaching Notes are available for educators only.

CCS 8: Marketing.

Information models for the representation of product data are being developed as an international standard. However, the current application protocols focus on the representation of homogeneous objects only. This paper suggests an information model to represent heterogeneous objects using the information modeling methodology developed for ISO 10303. The data planning model is then extended to represent the two‐dimensional (2D) slice information using concepts from ISO 10303. The proposed formats are validated by physical realization of objects on two LM machines. This information model will help in providing a uniform base in the development of heterogeneous solid modeling systems. It will also equip the solid modeler with the ability to integrate with other applications and process planning in the domain of layered manufacturing.

This work provides a generic review of the existing data mining ontologies (DMOs) and also provides a base platform for ontology developers and researchers for gauging the ontologies for satisfactory coverage and usage.

The study uses a systematic literature review approach to identify 35 DMOs in the domain between the years 2003 and 2021. Various parameters, like purpose, design methodology, operations used, language representation, etc. are available in the literature to review ontologies. Accompanying the existing parameters, a few parameters, like semantic reasoner used, knowledge representation formalism was added and a list of 20 parameters was prepared. It was then segregated into two groups as generic parameters and core parameters to review DMOs.

It was observed that among the 35 papers under the study, 26 papers were published between the years 2006 and 2016. Larisa Soldatova, Saso Dzeroski and Pance Panov were the most productive authors of these DMO-related publications. The ontological review indicated that most of the DMOs were domain and task ontologies. Majority of ontologies were formal, modular and represented using web ontology language (OWL). The data revealed that Ontology development 101, METHONTOLOGY was the preferred design methodology, and application-based approaches were preferred for evaluation. It was also observed that around eight ontologies were accessible, and among them, three were available in ontology libraries as well. The most reused ontologies were OntoDM, BFO, OBO-RO, OBI, IAO, OntoDT, SWO and DMOP. The most preferred ontology editor was Protégé, whereas the most used semantic reasoner was Pellet. Even ontology metrics for 16 DMOs were also available.

This paper carries out a basic level review of DMOs employing a parametric approach, which makes this study the first of a kind for the review of DMOs.

The current work provides a framework for the ranking of ontology development methodologies (ODMs).

The framework is a step-by-step approach reinforced by an array of ranking features and a quantitative tool, weighted decision matrix. An extensive literature investigation revealed a set of aspects that regulate ODMs. The aspects and existing state-of-the-art estimates facilitated in extracting the features. To determine weight to each of the features, an online survey was implemented to secure evidence from the Semantic Web community. To demonstrate the framework, the authors perform a pilot study, where a collection of domain ODMs, reported in 2000–2019, is used.

State-of-the-art research revealed that ODMs have been accumulated, surveyed and assessed to prescribe the best probable ODM for ontology development. But none of the prevailing studies provide a ranking mechanism for ODMs. The recommended framework overcomes this limitation and gives a systematic and uniform way of ranking the ODMs. The pilot study yielded NeOn as the top-ranked ODM in the recent two decades.

There is no work in the literature that has investigated ranking the ODMs. Hence, this is a first of its kind work in the area of ODM research. The framework supports identifying the topmost ODMs from the literature possessing a substantial amount of features for ontology development. It also enables the selection of the best possible ODM for the ontology development.

Ontology and Linked Data (LD) are the two prominent web technologies that have emerged in the recent past. Both of them are at the center of Semantic Web and its applications. Researchers and developers from both academia and business are actively working in these areas. The increasing interest in these technologies promoted the growth of LD sets and ontologies on the web. The purpose of this paper is to investigate the possible relationships between them. The effort is to investigate the possible roles that ontologies may play in further empowering the LD. In a similar fashion, the author also studies the possible roles that LD may play to empower ontologies.

The work is mainly carried out by exploring the ontology- and LD-based real-world systems, and by reviewing the existing literature.

The current work reveals, in general, that both the technologies are interdependent and have lots to offer to each other for their faster growth and meaningful development. Specifically, anything that we can do with LD, we can do more by adding an ontology to it.

The author envisions that the current work, in the one hand, will help in boosting the successful implementation and the delivery of semantic applications; on the other hand, it will also become a food for the future researchers in further investigating the relationships between the ontologies and LD.

So far, as per the author’s knowledge, there are very little works that have attempted in exploring the relationships between the ontologies and LD. In this work, the author illustrates the real-world systems that are based on ontology and LD, discusses the issues and challenges and finally illustrates their interdependency discussing some of the ongoing research works.