Rajesh Tyagi and Praveen Gupta
Traditional performance measurement models and frameworks fail to take into account the intricacies and specificity of service businesses. The important characteristics of…
Abstract
Purpose
Traditional performance measurement models and frameworks fail to take into account the intricacies and specificity of service businesses. The important characteristics of services, role of employees and partners, important of measures and concurrent production and delivery need to be incorporated into the framework. This paper seeks to address these issues.
Design/methodology/approach
The research followed a case‐based methodology using semi‐structured interviews. Literature review and case‐based methodology led to the conception of initial deployment framework.
Findings
Existing scorecards do not emphasize the deployment aspects of the scorecard and overlook trade‐offs and benchmarking decisions.
Practical implications
The scorecard provides guidance for successful deployment. The framework incorporates the importance of service innovation and role of employees and partners into the scorecard. Relative decision trade off and benchmarking are an integral part of the deployment process.
Originality/value
The two founding blocks of the scorecard are value maximization theory proposition and Six Sigma methodology. The service scorecard supports stakeholders that drive business performance thus ensuring accountability, innovation and collaboration. The scorecard offers a set of measures that builds upon existing measures.
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Chandrasekhar Das and Rajesh Tyagi
This paper considers a new class of problems arising in the distribution side of supply chains. It considers cooperative market expansion and price negotiation by wholesalers and…
Abstract
This paper considers a new class of problems arising in the distribution side of supply chains. It considers cooperative market expansion and price negotiation by wholesalers and manufacturers in a class of franchise‐type distribution markets. For wholesalers, expanding the coverage of geographically dispersed markets while retaining profitability of business requires new levels of price discounts from manufacturers. Manufacturers, on the other hand, attempt to limit such discounts to maintain a resale price to retailers. A successful negotiation results in a set of spatial markets with appropriate wholesale prices for each wholesaler. A sequential method is proposed for this purpose, assuming that the manufacturers and wholesalers are co‐operative and they exchange relevant information. The suggested process uses two optimisation models and is illustrated with a case study.
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Rajesh Tyagi and Chandrasekhar Das
Applies the concept of buyer‐seller relationship to long‐termplanning of wholesaling operations. Current practices indicate that thiskind of relational exchange reduces overall…
Abstract
Applies the concept of buyer‐seller relationship to long‐term planning of wholesaling operations. Current practices indicate that this kind of relational exchange reduces overall costs more than the traditional market exchange. Aims to help to operationalize this partnership by selecting a stable set of manufacturers and warehouses for an entire planning period. Develops a multi‐period optimization model incorporating constraints necessary for such stable solutions. This model requires a large number of variables and constraints, and is computationally challenging for most practical‐sized problems. Therefore proposes heuristic method to decompose the model into subproblems by partitioning the planning period into blocks of years and then synthesize the subproblem solutions. Such decomposition may also be useful to solve large dynamic location planning problems.
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Chandrasekhar Das and Rajesh Tyagi
Develops a decision‐making framework for the design and operation of awholesaling system. Considers the new roles of wholesaling and proposesan optimization model to satisfy best…
Abstract
Develops a decision‐making framework for the design and operation of a wholesaling system. Considers the new roles of wholesaling and proposes an optimization model to satisfy best the service requirements at the minimum cost. Using this model, a prototype decision‐support system is developed to build various scenarios and suitable models for these scenarios. A number of management reports are prepared to help managers negotiate prices or volumes, consolidate warehouses, select transport modes, and test the effectiveness of proposed service packages.
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Anuradha Yadav, Rajesh Kumar Singh, Ruchi Mishra and Surajit Bag
With gaining popularity, online communities are increasing. It is leading to the data and information overflow. So, there are some challenges like cyber frauds, cyberbullying…
Abstract
Purpose
With gaining popularity, online communities are increasing. It is leading to the data and information overflow. So, there are some challenges like cyber frauds, cyberbullying, etc. while engaging with online communities. Not only this, anonymity of the participants, stress and racism are also big challenges in online communities' interaction. Online harassers' attack tactics have changed over time. In addition, there are challenges like quality of discussion, inequality in participation of the users, etc. may scale online communities towards incitement and activism. Therefore, this study will try to analyse these challenges for overall benefit of the society.
Design/methodology/approach
The underlying fuzzy set theory is employed to handle the fuzziness of users' perceptions since the attributes are expressed in linguistic preferences. Through exhaustive literature review, the authors have identified 15 challenges. These challenges are further categorised as cause and effect by using DEMATEL (Decision-Making Trial and Evaluation Laboratory) approach.
Findings
Lack of strategic planning and uninspired discussions between users has emerged as a major challenge in cause category. This study further demonstrates how individual challenge can be managed and developed to navigate the online communities to maintain a healthy environment in society.
Research limitations/implications
Results are based on limited dataset. Therefore, findings cannot be generalised for all online communities.
Originality/value
The research findings offer a suitable direction to policymakers to formulate and design policies, laws and regulations to increase user engagement in the online community. The study is beneficial to firms and researchers in understanding the factors influencing effective management of online communities.
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R. Dhanalakshmi, Monica Benjamin, Arunkumar Sivaraman, Kiran Sood and S. S. Sreedeep
Purpose: With this study, the authors aim to highlight the application of machine learning in smart appliances used in our day-to-day activities. This chapter focuses on analysing…
Abstract
Purpose: With this study, the authors aim to highlight the application of machine learning in smart appliances used in our day-to-day activities. This chapter focuses on analysing intelligent devices used in our daily lives to examine various machine learning models that can be applied to make an appliance ‘intelligent’ and discuss the different pros and cons of the implementation.
Methodology: Most smart appliances need machine learning models to decrypt the meaning and functioning behind the sensor’s data to execute accurate predictions and come to appropriate conclusions.
Findings: The future holds endless possibilities for devices to be connected in different ways, and these devices will be in our homes, offices, industries and even vehicles that can connect each other. The massive number of connected devices could congest the network; hence there is necessary to incorporate intelligence on end devices using machine learning algorithms. The connected devices that allow automatic control appliance driven by the user’s preference would avail itself to use the Network to communicate with devices close to its proximity or use other channels to liaise with external utility systems. Data processing is facilitated through edge devices, and machine learning algorithms can be applied.
Significance: This chapter overviews smart appliances that use machine learning at the edge. It highlights the effects of using these appliances and how they raise the overall living standards when smarter cities are introduced by integrating such devices.
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Consumers are increasingly shopping online, and they want reliable and trustworthy information about the quality of goods and all members of the distribution chain. Blockchain and…
Abstract
Consumers are increasingly shopping online, and they want reliable and trustworthy information about the quality of goods and all members of the distribution chain. Blockchain and gamification are two technologies that can drive digital transformation across various industries. The current study investigates the application of blockchain and gamification in emerging modern markets. Gamification is a viable method for familiarising individuals with blockchain technology. It is an example of an idea that might be utilised to build a setting as a bargaining strategy. The goal of this research is to investigate how gamification components might be used to engage individuals in blockchain technology and foster a positive attitude towards future use. In this review article, we did a thorough study of the research articles published between 2018 and 2023 on various web search engines for scholarly literature and academic resources. This comprehensive review investigates the incorporation of blockchain technology and gamification in emerging markets. Blockchain, known for its decentralised and secure nature, has the potential to transform a wide range of industries, including marketing. Similarly, gamification has grown in favour as a method of engaging and motivating customers. Marketers may use the benefits of both approaches to build unique and effective marketing campaigns by integrating blockchain and gamification. This review focuses on the digital transformation with focus on major concepts, benefits, problems and real-world applications of using blockchain and gamification into modern marketing techniques in emerging markets.