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The aim of this research is to demonstrate the importance of placing a valuation on information assets and to propose a new valuation technique that complements existing valuation methods and provides improved results. It seeks to answer the following research question: what are the attributes of information relevant to value and how can they be used to produce a valuation of the information?

Using a test bed, hosted on the college's intranet for 12 days, three important variables were calculated: accessibility, lifespan and outcome across five files. Calculating these three variables is essential to conducting an accurate valuation of the information asset.

The research demonstrates the relationships between these variable (accessibility, lifespan and outcome) as well as showing that they have a critical impact on the value of the information asset. The findings provide a strong rationale for the practitioner or researcher to adopt the model in real time situations. The correlation coefficients of our attributes are: 0.9996 for accessibility and lifespan; 0.9755 for accessibility and outcome and 0.9754 for lifespan and outcome.

Due to the sensitive nature of some of the information held by the organization, the observations were somewhat limited. However, the model could be replicated with a collaborative arrangement between the organization and academia.

This paper aims to provide a new model for risk management that can be used effectively to conduct a valuation of information assets. The approach will help the organization to better quantify their information assets and will prove to be a useful tool for the next generation of Information security managers.

This paper determines the valuation of information assets based on three variables; accessibility, lifespan and outcome. These variables have been identified from the extensive literature review in the area of intangible assets.

Previous research has shown that consumers prefer a bonus pack to a price discount for virtue foods, whereas they prefer a price discount to a bonus pack for vice foods. Acting as a guilt-mitigating mechanism, a price discount justifies consumers' purchasing behavior, allowing them to save money and consume less vice foods. However, for virtue foods, neither the anticipated post-consumption guilt nor the resulting need for justification lead consumers to prefer a bonus pack to a price discount. This study investigates whether product promotions remain effective with other moderating variables.

The authors use pricing tactic persuasion knowledge (PTPK), which refers to the consumer persuasion knowledge of marketers' pricing tactics, as a lens to understand whether the power of these promotions could be enhanced or mitigated. The authors inferred that increasing the frequency of exposure to these foods could positively influence consumers' purchasing choices. They conducted three studies to examine these effects. In Study 1, using pearl milk tea (vice food) and sugar-free tea (virtue food), the authors contended that consumers would prefer a price discount when purchasing pearl milk tea, but a bonus pack when purchasing sugar-free tea. In Studies 2 and 3, the authors varied the participants' frequency of exposure to photographs of people in everyday situations with vice (virtue) foods.

In Study 1, PTPK was shown to be more predictive of consumer choices regarding price discounts and bonus packs. In Studies 2 and 3, the authors contended that increased exposure to vice (virtue) foods increases the selection of vice (virtue) foods by participants who were unaware of having been exposed to vice (virtue) foods.

This research has not only made quite managerial and policy implications for marketing but also brought the theoretical contributions for marketing researches. This research demonstrates that either for vice foods or virtue foods, a price discount is preferred to a bonus pack.

This study aims to investigate the extent to which consumers recognize participation in consumption tax evasion (CTE) as an ethical issue and the impact of moral recognition on consumer intention to participate. It also explores the role of religiosity and attitude toward government in the ethical decision-making process of consumers.

The model was tested using the structural equation modeling approach over 128 responses collected through the mail survey.

The results of the study suggest that attitude towards government and religiosity influences the consumers’ intention to participate in CTE. The negative attitude toward government enhances the intention to participate in CTE. Religiosity negatively influences the intention to participate in CTE and makes people recognize participation in CTE as a moral issue.

There is a need to explore the impact of other factors such as social norms and personality traits on the consumer decision-making to participate in CTE.

This study indicates that the even when people recognize participation in CTE as morally wrong, they do not have intentions to avoid such behavior because of their attitude toward government. Governments need to improve their image among consumers to reduce CTE. Also, there is a need to launch social marketing campaigns to move consumers from just recognizing moral issues in CTE to forming intentions to resolve those issues.

Earlier studies have explored the moral issue related to tax evasion in a context where an individual has directly participated in such an act, whereas this study explores the ethical aspect in the situation where consumers play an indirect role in tax evasion, i.e. CTE. In the context of participation in CTE, this study points out that the consumers recognize their indirect participation in CTE as a moral issue, but they lack the intention to curb such behavior. Further, no earlier study has explored the impact of religiosity and attitude toward government in such indirect participation in tax evasion.

This comprehensive case has been written for an undergraduate-level course on general management and a post-graduate-level course on organizational behavior and strategic management. After working through the case and conducting an in-depth discussion of the assignment questions, students will be able to do the following: 1. perform a comprehensive assessment of the institute’s internal context to measure its resources and preparedness to deal with COVID-19; 2. apply organizational change frameworks (to understand the trigger of the change, type of change and change process); 3. qualitatively analyze the dynamic capabilities and resources available to reopen the institute; and 4. suggest ways to institutionalize agility in the organization to improve the preparations and future responses to student management on campus based on a thorough analysis.

Founded in 1996, the Indian Managerial Studies Institute, Indore, has emerged as a leader in management education by appropriately weaving the pertinent roles of industry, government and PSUs into a common thread. With the onset of COVID-19 in March 2020, IMSI Indore began to respond to educational and administrative challenges by building on resilient strategies. Two decision-making situations cropped up as the situation improved and again converged to the more lethal second wave in March 2021. Dr Hemant Vishwas, Dean of IMSI Indore, needed to determine whether the institute should continue with the reduced employee and hybrid classroom model or reopen with full-fledged operations for the following academic year.

This comprehensive case has been written considering the teaching pedagogy for an undergraduate-level course on organizational behavior (organizational development and change module) and a post-graduate-level course on organizational behavior and strategic management. This case is suitable for courses on organizational development, change and strategy implementation. Organizational behavior and organizational development and change can be used to understand the core concepts of the change content and process, i.e. the scope and scale of the change. The case also touches on inducing a dynamic change in response to the pandemic in an educational setting, teaching the concepts of dynamic capabilities. It is also expected to be useful for teaching courses related to operations strategies in educational services for executive degree programs and faculty development workshops.

Teaching notes are available for educators only.

CSS 6: Human Resource Management.

Price discovery and spillover effect are prominent indicators in the commodity futures market to protect the interest of consumers, farmers and to hedge sharp price fluctuations. The purpose of this paper is to investigate empirically the price discovery and volatility spillover in Indian agriculture spot and futures commodity markets.

This study uses Granger causality, vector error correction model (VECM) and exponential generalized autoregressive conditional heteroskedasticity (EGARCH) to examines the price discovery and spillover effects for nine most liquid agricultural commodities in spot and futures markets traded on National Commodity and Derivatives Exchange (NCDEX).

The VECM results show that price discovery exists in all the nine commodities with futures market leading the spot in case of six commodities, namely soybean seed, coriander, turmeric, castor seed, guar seed and chana. Whereas in case of three commodities (cotton seed, rape mustard seed and jeera), price discovery takes place in the spot market. The Granger causality tests indicate that futures markets have stronger ability to predict spot prices. Supporting these, the results from EGARCH volatility test reveal that there exist mutual spillover effects on futures and spot markets. Thus, it could be inferred that futures market is more efficient in price discovery of agricultural commodities in India.

These results can help the market participants to benefit by hedging out the uncertainty and the policymakers to design futures contracts to improve the efficiency of the agricultural commodity derivatives market.

The findings provide fresh view on lead–lag relationship between future and spot prices using the latest data confirming that futures market indeed is dominant in price discovery.

There are very few studies that have explored the efficiency of the agricultural commodity spot and futures markets in India using both price discovery and volatility spillover in a detailed manner, especially at the individual agriculture commodity level.

The paper explores the relationship of humane orientation of organizations with members' reactions to such treatment by the organization. Orientation of mangers to form good relationships with subordinates has been reflected through subordinatesa’ perception of quality of leader-member exchange (LMX) and it was expected to predict members’ reaction through feeling of exhaustion (burnout). The roles of humane orientation of organizational support measured through perceived organizational support (POS) by subordinates and organizational identification (OID) as possible explicators of the relationship between LMX quality and organizational burnout have also been explored. We conducted three step hierarchical linear regressions on a sample involving data at two time waves. As expected, all the hypotheses were supported. A major contribution of the research to academic literature is the corroboration of directionality of some of the relationship through two time wave design. Also, burnout in this research has been measured at an organizational level and the results were in line with burnout measured at the job level in some earlier studies on burnout.

Owing to the rising costs and shrinking budgets; inefficiency can be observed in the financing and delivery of health service both in the private and public sectors, which is not only causing organizations to reconsider their management patterns but also to use new strategies to achieve competitive merits in the current world of business. Outsourcing is one of the best alternates. The purpose of this paper is to study: the nature and magnitude of outsourcing of health-care services in a Smart City of Eastern India; the motives behind outsourcing: and the factors affecting outsourcing decisions.

The study was conducted in Bhubaneswar, a Smart City of Eastern India and capital of Odisha State. Data relating to the outsourcing of health-care services were collected from 40 hospitals (each having a minimum of 10 beds) through a structured schedule. Descriptive statistics were calculated through Statistical Package for Social Science to substantiate the objectives.

Most of the clinical services were outsourced by small hospitals, while a significant portion of non-clinical services were outsourced by large and medium hospitals. Reduction in cost and better management control were the major driving forces of outsourcing. Loss of control over service providers and quality of measurement were considered as the main disadvantages in the decision-making process of not outsourcing the services by hospitals.

The study is the first-ever survey based on empirical evidence about the state of facilities management services outsourced in public and private hospitals in Odisha, India. The paper concluded that the effect of outsourcing did not synchronize successfully as shown in international literature.

As the global financial ecosystem grapples with the complexities of modernization, blockchain technology emerges as a pivotal catalyst, offering the banking, financial services, and insurance (BFSI) industry unprecedented opportunities for secured digital transformation and enhanced customer trust. To gain a comprehensive understanding of blockchain technology adoption, this study aims to identify the factors and establish the contextual interrelationships among them.

The authors have identified the factors affecting blockchain technology adoption in BFSI industry through extensive literature review and experts’ interviews. After identification of factors, contextual relationship has been established based on experts’ opinion and total interpretive structural modeling (TISM) approach. Furthermore, factors are categorized into autonomous, dependent, linkage and driving variables using cross-impact matrix multiplication applied to classification analysis.

The TISM-based structural model is divided into eight different hierarchal levels in which Government support is placed on the lower most layer (level 8) which indicates that this is the most crucial factor in blockchain adoption. Further social influence and security are placed on seventh and sixth level in the hierarchy.

The results of this study will help the policymakers to direct the resources from the most crucial factor to other factors in the hierarchy as per their relevance. In essence, this study serves as a guiding compass, steering the course of blockchain technology adoption in the BFSI sector toward a more secure and digitally transformed future.

In the current landscape, blockchain technology remains in its nascent stage, leaving ample room for exploration and innovation. This study stands as the pioneering effort to comprehensively identify and establish the contextual relationships among the adoption factors of blockchain technology within BFSI industry. Through rigorous TISM analysis, this paper enriches the existing body of knowledge on blockchain technology adoption.

The purpose of this paper is to examine the effect of non-linear thermal radiation, Joule heating and viscous dissipation on the mixed convection boundary layer flow of MHD nanofluid flow over a thin moving needle.

The equations directing the flow are reduced into ODEs by implementing similarity transformation. The Runge–Kutta–Fehlberg method with a shooting technique was implemented.

Numerical outcomes for the coefficient of skin friction and the rate of heat transfer are tabulated and discussed. Also, the boundary layer thicknesses for flow and temperature fields are addressed with the aid of graphs.

Till now, no numerical study investigated the combined influence of Joule heating, non-linear thermal radiation and viscous dissipation on the mixed convective MHD flow of silver-water nanofluid flow past a thin moving needle. The numerical results for existing work are new and their novelty verified by comparing them with the work published earlier.

Socio-economic development is multi-faceted. The major facets consist of: income, level of education, level of health, quality of infrastructure, sex ratio, level of employment, industrial and agricultural development, and so on. In India, the progress of socio-economic development among the states is not even. This study makes a modest attempt to measure the socio-economic development among the states of India and highlight the disparity among them. In the same line of thought, a composite index based on several facets of socio-economic development has been developed in a holistic manner and the states are arranged accordingly based on the indices. Instead of studying the disparity of a particular facet across states, a composite index is a better measure. This study has utilized the varied dimensions of socio-economic development and a taxonomic approach to construct a composite index without making any assumptions on the raw data. The findings of the study also support the general perception of large disparity in socio-economic development status of the states in India.