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Competitive strategy.

Post-Graduate (MBA/Doctoral) level courses.

This paper aims to examine the evolution of Himalaya Drug Company (hereinafter referred to as Himalaya), an Ayurveda-based pharmaceutical-wellness company. Over the eight decades of its history, Himalaya has built a reputation for Ayurveda-based formulations that conform to allopathic standards and are accepted globally. In the recent years, Himalaya dramatically strengthened its competitive position of “scientific Ayurvedic products” through its entry into fast-moving consumer goods (or consumer-packaged goods), categories of wellness products as well as over-the-counter (non-prescription) drugs. This case describes the focused differentiation strategy of Himalaya and sets out the challenges it faced/would face in sustaining its focused differentiation strategy, as it enters into highly penetrated categories such as toothpastes and soaps (that were traditionally dominated by broad differentiators and broad cost leaders).

The outcomes are as follows: to exemplify the logic of focused differentiation, where a competitor commands a higher willingness to pay than its average competitors, by narrowing its target segments; to illustrate how the firm’s entire set of activities are tailored to meet the specific needs of a set of carefully chosen products, narrow customer segments, of defined geographic markets; to highlight how a combination of tradeoffs and fit helps protect the firm’s competitive position from its potential imitators; and to demonstrate the limits of a focused strategy, specifically relating to growth, and how a company such as Himalaya can overcome such limits.

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CSS 11: Strategy.

The main objective of the study is to identify the vulnerable areas for river‐line and flash flood hazard and its mitigation through GIS Database Management System (DBMS) of geo‐hydrometeorological parameters. The Dabka watershed constitutes a part of the Kosi Basin in the Lesser Himalaya, India in district Nainital has been selected for the case illustration.

The Dabka DBMS is constituted of three GIS (Geographic Information System) modules, i.e. geo‐informatics (consists of geomorphology, soils, geology and land use pattern, slope analysis, drainage density and drainage frequency), weather informatics (consists of daily, monthly and annual weather data about temperature, rainfall, humidity and evaporation) and hydro‐informatics (consist of runoff, sediment delivery, and denudation). The geo‐informatics and weather informatics modules carried out by comprehensive field work and GIS mapping than both modules used to carry out hydro‐informatics module. Through the integration and superimposing of spatial data and attribute data with their GIS layers of all these modules prepared Flood Hazard Index (FHI) to identify the level of vulnerability for flood hazards and their socio‐economic and environmental risks.

The results suggest that geo‐environmentally most stressed areas of barren land (i.e. river‐beds, flood plain, denudational hills, sites of debris flow, gullies, landslide prone areas etc.) have extreme vulnerability for flood hazard due to high rate of runoff, sediment load delivery and denudation during rainy season (i.e. respectively 84.56 l/s/km², 78.60 t/km² and 1.21 mm/year) whereas in geo‐environmentally least stressed dense forest areas (i.e. oak, pine and mixed forests) have low vulnerability due to low rate of stream runoff, sediment load delivery and denudation (i.e. respectively 20.67 l/s/km², 19.50 t/km² and 0.20 mm/year). The other frazzled geo‐environment which also found high vulnerable for flood hazard and their risks is agricultural land areas due to high rate of stream runoff, sediment load delivery and denudation rates (i.e. respectively 53.15 l/s/km², 90.00 t/km² and 0.92 mm/year).

For hydro‐informatics module it is quite difficult to monitor water and sediment discharge data from each and every stream of the Himalayan terrain due the steep and rugged topography. It requires strategic planning and trained man power as well as sufficient funds; therefore representative micro‐watershed approach of varied ecosystem followed for a three years (2006‐2008) period.

The study will have great scientific relevance in the field of river‐line flood and flash flood hazard and its socio‐economic and environmental risks prevention and management in Himalaya and other mountainous terrain of the world.

This study generated primary data on hydro‐informatics and weather informatics to integrate with geo‐informatics data for flood hazard assessment and mitigation as constitutes a part of multidisciplinary project, Department of Science and Technology (D.S.T.) Government of India.

The learning outcomes are as follows: understand the factors that go into the assessment of a distributor performance; understand the criteria that may be useful to distributors while choosing distributorship of a fast-moving consumer goods (FMCG) company; understand the various parameters that define a distributor performance; and understand the critical aspects that sales force consider while staying with an organization on the long term.

This case is about how a FMCG Company in India – Patanjali Products is handling its sales and distribution management strategies. The FMCG segment in India is very competitive and is dominated by big multi- national players such as Unilever and Procter & Gamble as well as other Indian players such as Marico, Dabur, Cavinkare and Himalaya herbal. This industry is characterized by frequent product launches and the trade/ distributors play a key role in providing reach and visibility to the end users. Patanjali Products is a relative new entrant but has rapidly found success in this category. Through a product range that is positioned on “naturalness”, the company has achieved a turnover of US$735m in a span of six years. The case is written from the perspective of Anil Gupta, one of the distributors of the company. He is currently faced with the challenge of evaluating whether he should continue with the distributorship or go back to his old company Himalaya herbal. With this background, the case intends to elaborate on the specific aspects of distributor management and sales management. Some key questions discussed in the case are as follows: What are the aspects that determine the performance of a distributor? What are the parameters that a distributor needs to take into account while selecting a company? How does one calculate the financial return on investment for a FMCG distributor business? What are the elements that contribute to sales force loyalty?

Undergraduate and Post Graduate students of management Sales workshops Corporate training on sales management Particularly it can be taught under the course “Sales and Distribution Management”. The other courses where it can be a part of are: Retail Management, FMCG Sales and Marketing, Channel Management

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Marketing

Hydrological and climatological modeling is increasingly being used with the intent of supporting community-based climate change adaptation (CCA) and disaster risk reduction (DRR) initiatives in the Hindu Kush-Himalaya (HKH), as well as filling critical data gaps in a region that contributes significantly to the water resources and ecosystem diversity of Asia. As the case studies presented in the previous chapters illustrate, the utility of modeling in informing and supporting CCA and DRR initiatives depends on a number of criteria, including:•appropriate model selection;•ability to interpret models to local contexts; and•community engagement that incorporates and addresses underlying vulnerabilities within the community.

There are significant challenges to meeting all three of these criteria. However, when these criteria are met, we find:•There is a clear role for modeling to support CCA. The climate is changing now and will continue to do so for several centuries, even if carbon emissions were to stabilize tomorrow. Models, and other scenario development tools, provide our best insight into what the future climate might be and resulting impacts on dynamic social, environmental, political, and economic systems.•There is a clear role for local CCA. The impacts of climate change will be felt mostly at local levels, necessitating community adaptation responses. At the same time, most of the HKH communities and countries engaged in CCA initiatives have pressing, immediate development and livelihood needs. Making current development and livelihood initiatives incorporate climate adaptation considerations is the best way to ensure that the choices made today can set us on paths of increasing resilience, rather than almost inevitable disaster, for the future.•To achieve the best of both modeling and CCA requires thoughtful and patient application of modeling, tailored to local needs, conditions, and politics, with communities engaged around all stages of generating, interpreting, and applying the results. This requires a rare combination of technical skill, cultural sensitivity, political awareness, and above all, the time to continually engage with and build relationships within the community in order to foster resilient change.

The purpose of the study is to assess the environmental and socio‐economic impacts and risks of climate change through GIS database management system (DBMS) on land use‐informatics and climate‐informatics. The Dabka watershed constitutes a part of the Kosi Basin in the Lesser Himalaya, India in district Nainital has been selected for the case illustration.

Land use‐informatics consists of land use mapping and change diction, i.e. decadal changes and annual changes. Climate‐informatics consists of climate change detection through daily, monthly and annual weather data for a period of 25 years.

The exercise revealed that oak and pine forests have decreased, respectively, by 25 percent (4.48 km²) and 3 percent (0.28 km²) thus bringing a decline of 4.76 km² forest in the watershed during 1990 to 2010. But, due to climate change the mixed forest taking place of oak forest in certain pockets and consequently the mixed forest in the catchment increased by 18 percent (2.3 km²) during the same period which reduced the overall loss of forests in the region but its not eco‐friendly as the oak forest. Barren land increased 1.21 km² (56 percent), riverbed increased 0.78 km² (52 percent) and cultivated land increased about 0.63 km² (3 percent) during the period of 1990 to 2010. Out of the total seven classes of the land use land cover, five classes (i.e. Oak, Pine, Mixed, Barren and Riverbed) are being changed dominantly due to climate change factor and anthropogenic factors plays a supporting role whereas only two classes (scrub land and agricultural land) are being changed dominantly by anthropogenic factors and climate change factors plays a supporting role. Expansion of mixed forest land brought out due to upslope shifting of existing forest species due to climate change factor only because upslope areas getting warmer than past with the rate of 9°C‐12°C/two decades. Consequently, the results concluded that the high rate of land use change accelerating several environmental problems such as high runoff, flash flood, river‐line flood and soil erosion during monsoon season and drought during non‐monsoon period. These environmental problems cause great loss to life and property and poses serious threat to the process of development with have far‐reaching economic and social consequences.

This study generated primary data on land use‐informatics and climate‐informatics to integrate each‐other for impact assessment and mitigation through sustainable land use as constitutes a part of a multidisciplinary project, Department of Science and Technology (D.S.T.) Government of India.

Naitwar Bazar in the Upper Tons valley Indian Himalaya (Uttarkashi district of Uttaranchal in India) is showing signs of an impending disaster. This settlement has witnessed active mass wastage during rainy season of 2003 which has caused damage to infrastructure (crucial road link), hospital (i.e. the sole health facility) and residential cum commercial area. The active mass wastage zone may take heavy toll of human lives during the rains. Therefore, the paper proposes examining this subject.

Field investigations were carried out to assess the damage during the past events, probe the causes of mass wasting hazard and to assess the elements at risk in order to evolve a disaster management strategy.

It is suggested that a series of prevention and mitigation measures (both structural and non‐structural) with the involvement of the local community are required to avoid the impending disaster in the area.

This paper highlights the need for hazard prognosis and vulnerability assessment in the remotest settlements of Himalayas in order to timely plan the awareness initiatives, response mechanism and structural and non structural mitigation measures. An attempt has also been made to bring forth importance of incorporating the disaster management component into the local developmental planning.

Climatic conditions as also the agrarian economy of the Indian subcontinent is greatly affected by the monsoonal winds that are characterized by heavy rains between June and September. The paper is an attempt to break the myth that landslides are only confined to monsoonal months that normally have concentrated rains and can be expected in other seasons as well and, therefore, disaster alert levels cannot be relaxed during non‐monsoonal season. The communication also attempts to identify slowly ongoing weathering processes that might cause to slope failure without rains and, therefore, paves way for identifying similar landslide prone areas.

The paper discusses two landslides of the recent past; Uttarkashi landslide of 23 September 2003 and Ramolsari landslide of 30 March 2005 that took place after the seizure of the monsoonal rains and is based upon the first hand field observations of the authors. The paper discusses the likely causes of the slides along with the implications of this new trend of landslides taking place in the non‐monsoonal season upon the disaster management strategy of the state.

The investigations reveal that precipitation could be considered the trigger in case of Uttarkashi landslide but there exist no evidences to suggest that the Ramolsari landslide could have been triggered by increased pore water pressure. Slow ongoing and hard to observe processes of weathering seem to have initiated this slide.

For the purpose of metrological parameters, the study relies upon the data of the state run rain gauges that do not have an appreciably good spatial distribution. Rainfall data of the nearest observation points is, therefore, taken as representative of the rainfall in the area under present focus. For Ramolsari, the rainfall data of Tehri is used while Uttarkashi has a rainfall recording observatory.

The paper highlights the importance of keeping the preparedness levels high for prompt post‐disaster operations all through the year. This paper advocates redefining high alert period for landslide hazard and for following high alert all through the year particularly in areas prone to landslides.

Kumarkhera in Narendra Nagar township of Lesser Himalaya (Tehri Garhwal district of Uttarakhand in India) is showing signs of an impending disaster. The potential mass wastage zone may take toll of human lives in the near future and cause damage to residential and commercial area and infrastructure, namely road, telephone and electric lines and water supply lines. This paper aims to document the strategy for managing this potential disaster.

Study of satellite images and field investigations were carried out in order to probe the possibility of potential landslides in the near future and to find out the risk enhancing anthropogenic activities. Furthermore, the elements at risk were also assessed in order to evolve a disaster management strategy.

It is suggested that a series of prevention and mitigation measures (both structural and non‐structural) with the involvement of the local community are required to avoid an impending disaster in the study area.

This paper highlights the need for reading the signs of landslides and identifying the elements at risk and also calls for timely initiatives, including structural and non‐structural mitigation measures, so that the impact of the disaster can be minimized.

This chapter attempts to critically examine the wildlife conservation discourse that argues for curtailing the livestock grazing inside the Changthang Wildlife Sanctuary, situated on the India’s international borders with China in southeast Ladakh. The conventional conservation discourse points at the (supposed) greed of the Changpa pastoralists in accumulating an increasing number of pashmina goats as a primary environmental cause of wildlife loss in Changthang; however, there is a critical lack of insight into the political and historical mechanisms that lie within the dynamic interaction between resource access and socio-economic inequalities, critical for understanding Changpa pastoralism today.

Ethnographic inquiry into the Changpa economy before the closure of Ladakh–Tibet border trade in 1962, and afterwards, has highlighted the political and economic transformations in the area, as well as the cultural politics of market integration and increasing inabilities of the mobile Changpa pastoralists to access vital productive resources. Inequalities reflected in the contemporary livestock data, acquired from the pastoralists, underscore the processes of institutional bricolage, non-cooperative labour, exchange/wage herding and capital-dominated market networks, making pastoralism impossible for several of the households.

The chapter argues against making livestock withdrawal a major aim of conservation sciences. It calls instead for the recognition of state-provisioned commodified pashmina rearing, seen through the prism of changing abilities and shifting institutions, where unequal access to productive resources is a reflection of both historical dispossessions and also economic impoverishments of Changpa today.

The purpose of this paper is to find a real-time parking location for a four-wheeler.

Real-time parking availability using specific infrastructure requires a high cost of installation and maintenance cost, which is not affordable to all urban cities. The authors present statistical block matching algorithm (SBMA) for real-time parking management in small-town cities such as Bhavnagar using an in-built surveillance CCTV system, which is not installed for parking application. In particular, data from a camera situated in a mall was used to detect the parking status of some specific parking places using a region of interest (ROI). The method proposed computes the mean value of the pixels inside the ROI using blocks of different sizes (8 × 10 and 20 × 35), and the values were compared among different frames. When the difference between frames is more significant than a threshold, the process generates “no parking space for that place.” Otherwise, the method yields “parking place available.” Then, this information is used to print a bounding box on the parking places with the color green/red to show the availability of the parking place.

The real-time feedback loop (car parking positions) helps the presented model and dynamically refines the parking strategy and parking position to the users. A whole-day experiment/validation is shown in this paper, where the evaluation of the method is performed using pattern recognition metrics for classification: precision, recall and F1 score.

The authors found real-time parking availability for Himalaya Mall situated in Bhavnagar, Gujarat, for 18th June 2018 video using the SBMA method with accountable computational time for finding parking slots. The limitations of the presented method with future implementation are discussed at the end of this paper.