Jaydip Kanango, Ashutosh Bhatnagar, Ravikant Gupta and Vikas Kashyap
This research has been taken up by the human resource center of organization X, for designing a curriculum for a training course named “Basic Computer Application”, by optimizing…
Abstract
Purpose
This research has been taken up by the human resource center of organization X, for designing a curriculum for a training course named “Basic Computer Application”, by optimizing topics and finalizing teaching strategies, based on needs and expectations collected from past and prospective training participants from different ranks of employees of X. The study aims to discuss this issue.
Design/methodology/approach
The research strategy adopted is based on a survey conducted using a specially designed questionnaire. The questionnaire was circulated to 256 personnel selected randomly having computer backgrounds as well as non-computer backgrounds, who had either attended past batches of the same training course or attended different training courses. The data thus collected was processed using VOC Table and the affinity diagram and subsequently fed into the house of quality (HOQ) for obtaining desired output.
Findings
The study has identified and optimized topics for the course, based on employee needs/wants, using the two-stage QFD approach. After delivering the course with an optimized curriculum and teaching strategy, it is observed that the overall participant satisfaction performance of the course has increased from 3 to 4.6, which is higher than the goal set at 4. This indicates an overall enhancement in the satisfaction of participants with the delivery of the new improved course curriculum.
Research limitations/implications
As indicated by the survey findings, the competence level of personnel with computer backgrounds is higher than that of personnel without computer backgrounds, which would result in different design considerations while constructing QFDs for these two entirely different groups of participants. This study has been limited to the course curriculum design for personnel with non-computer backgrounds only. The curriculum design for personnel with computer backgrounds will be addressed separately, in a future study.
Originality/value
This is an original study conducted on randomly selected employees across the country from among personnel working for different establishments of organization X. The approach taken in this study for optimizing a course curriculum is unique in the way that it uses a two-stage QFD, which is traditionally used for the design of a product, its components, and the subsequent manufacturing process. This study has employed a planning matrix that incorporated participant-given ratings for each individual need and also participant-decided benchmarking ratings of other similar courses. Estimation of final target has been done by factoring in participants' competence ratings for each individual topic, for a more truthful representation of participant opinion on the final output. This study has also adopted a unique approach of considering only top 80% (in terms of frequency of occurrence) of total responses while calculating weighted averages, instead of calculating the mean value of all data points. In this way, only the significant contributors have been considered while analyzing data.
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Borrowing stewardship theory and self-determination theory as the theoretical lens, this study aims to develop a conceptual model for engendering distributor’s…
Abstract
Purpose
Borrowing stewardship theory and self-determination theory as the theoretical lens, this study aims to develop a conceptual model for engendering distributor’s stewardship-oriented behaviors (SOBs) in manufacturer–distributor relationships.
Design/methodology/approach
This paper utilized primary dyadic data collected from 237 key informants of manufacturers and distributors in the Indian Pharmaceutical and FMCG industry to evaluate the study hypotheses using a structural equation modeling approach.
Findings
Findings indicate that key elements of intrinsic and identified motivation play a pivotal role in fostering distributor’s SOBs which in turn generate higher relationship performance outcomes for the manufacturer. Moreover, the effect of antecedents was moderated by manufacturer’s effective communication with the distributor.
Research limitations/implications
Results of this study document four factors as antecedents to distributors’ SOBs, which manufacturers can strategically incorporate in their relationship strategies with distributors.
Originality/value
The study introduces the concept of SOBs to marketing channel literature, thereby extending channel theory by drawing attention to the distributor’s intrinsically motivated positive behaviors that are in the best interest of manufacturers.
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Vikas and Dayal Ramakrushna Parhi
Optimal navigation and trajectory planning are in high demand because of the rise in automated systems. This study aims to focus on implementing an intelligent regression-based…
Abstract
Purpose
Optimal navigation and trajectory planning are in high demand because of the rise in automated systems. This study aims to focus on implementing an intelligent regression-based chaotic Harris Hawk optimization (LR-CHHO) to achieve a globally optimal path free from collisions.
Design/methodology/approach
This study removes the drawbacks of the existing HHO model in terms of its exploration and exploitation behaviors. After the threat is encountered, the improved controller is activated. The LR tool, here, avoids the issue related to the sensitivity of the model. The virtual Hawks, as per the HHO technique, are generated and trained to enhance the diversity in Hawks population. The final controller then calculates the optimal turn angle for the humanoid to avoid threats before reaching the goal.
Findings
Model showed an overall improvement greater than 4% in the path and 9% in time compared with standard models in Terrains 1 and 2. Regarding energy efficiency, a significant improvement of more than 20% in the hip, 14% in the knee and 30% in the ankle was observed on both even and uneven terrains.
Originality/value
The originality of this study focuses on improving the diversity in the HHO population by introducing the LR-based model to help the humanoids find an optimal path to the goal. Although the basic model lacked an optimal solution because of sensitivity, less diversity, etc., the proposed model helped resolve the issue and achieve an optimal turning angle for the humanoids to trace the optimal path.
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Gunjan Sharma, Naval Bajpai, Kushagra Kulshreshtha, Vikas Tripathi and Prince Dubey
The online shopping behavior is the outcome of the variety of attribution from product/ service offering to internet experience. The present study attempts to develop a complete…
Abstract
Purpose
The online shopping behavior is the outcome of the variety of attribution from product/ service offering to internet experience. The present study attempts to develop a complete product/service offering by exploring and examining the different combinations of online shopping attributes to provide the customized experience. Therefore, this study aims to fill the gap of customer desired experience and present scenario in online shopping behavior.
Design/methodology/approach
The exploration of attributes pertaining to online shopping behavior was done by seeking theoretical support from different technology adoption theories/models and the Delphi technique, exercised with active participants of online and offline shopping. The theoretical and experience shared attributes were devised and social desirability scale (SDS) was used for eliminating the social desirability bias. Further, the questionnaire was administered online and offline during mall intercept. The Conjoint analysis was used to investigate the relative importance and utilities of the attributes and its levels individually and compositely at different levels.
Findings
In the context, brand loyalty, online reputation management and Web interactivity were found most relavant followed by e-WOM, perceived risk and price. The specific levels of attributes such as taking consumer advice, search engine optimization (SEO), perception-based interactivity, consumer message boards, product risk and discount pricing were the crucial in motivating the customers for online shopping. This research affords the avenue for the marketers to motivate and delight consumers to retribalize by the way of “e-tribalizing.”
Research limitations/implications
The current study was conducted in confined geographical locations and limited in sample size; thus, the issue of generalization may prevail, but forthcoming researchers may exercise the techniques with better probabilistic sampling technique. The mass customization of the website features by comparing attribute orientation of customers around websites was recommended with the third-party certification to reduce the consumers’ perceived risk during online shopping. Finally, the different levels, such as Facebook fan page in ORM and Everyday Low Price (EDLP) in pricing may be considered for the future research work.
Originality/value
The research studies on online shopping behavior with Web interactivity, e-WOM, perceived risk, brand loyalty, ORM and price using a decompositional technique are scant. This study persuades the customers to go for online shopping by putting them in the almost real-time purchasing scenario. The study confirmed the need of people to retribalize through e-tribalization by the way of customization for the masses in the context of online shopping.
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In this chapter we study internal and external, formal and informal, financing sources of Chinese firms during the period 1997–2006, by analyzing balance sheet data from the…
Abstract
In this chapter we study internal and external, formal and informal, financing sources of Chinese firms during the period 1997–2006, by analyzing balance sheet data from the Chinese Industrial Surveys of Medium-sized and Large Firms for 2000–2006 and survey data from the Large-Scale Survey of Private Enterprises in China conducted in 1997, 2000, 2002, 2004, and 2006.
The following stylized facts emerge from our analysis: (1) State-owned firms continue to enjoy more generous external finances than other types of Chinese firms. (2) Chinese private firms have resorted to various ways of overcoming financial constraints, including reliance on the increasingly more mature informal financial markets, cost savings through lower inventory and other working capital requirements, and greater reliance on retained earnings. (3) Substantial variations exist in financial access among private firms, with small private firms facing more financial constraints whereas more established firms having financial access more equal to their SOE counterparts. (4) Although not as accessible as for SOEs, the Chinese formal financial sector does provide Chinese private firms with substantial financial resources, especially for their short-term needs during daily operations. (5) The most pressing financial constraint facing Chinese private firms is their limited ability to secure long-term funds to invest for growth, and resolving this issue should be one of the top goals of financial reforms in China.
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Music could be a challenger for mathematics and a potential candidate for the title “The Universal Language.” This paper aims to discuss the primary objectives of engaging with…
Abstract
Purpose
Music could be a challenger for mathematics and a potential candidate for the title “The Universal Language.” This paper aims to discuss the primary objectives of engaging with music, including the therapeutic benefits. Similarities, between mathematics and music and how studying one might enhance one’s abilities of the other are pointed out.
Design/methodology/approach
A formal definition for a universal language is given. A qualitative approach, supplemented with rigorous reasoning, is adopted. The narrative relies on the author’s experiences, teaching mathematical concepts and musical interactions, with students from several countries. A vast amount of literature is reviewed and the corresponding findings are connected toward the arguments made.
Findings
The paper demonstrates that one day, once we understand both mathematics and music better, we might see both of them as the same language. Until then, it is essential to supplement mathematics with music. The educational implications, for all fields, are to ensure that the future creators of knowledge are equally adept at both music and mathematics. The wider policy connotations are to create a blueprint for a society with a vibrant musical and artistic environment.
Originality/value
This study illuminates new ways of thinking about music and mathematics. The possibility that many seemingly complex entities (including our universe, virtual computer worlds, mathematical operations, etc.), are made up of combinations of much simpler building blocks is hinted at. Familiarity with any intricate element of life, without getting flustered, is bound to produce remarkable results in other such endeavors.
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Rajkumari Mittal, Parul Sinha and Bikramjit Rishi
This case study will help business management students learn the dynamics of distribution management in the rural context. After working through the case and assignment questions…
Abstract
Learning outcomes
This case study will help business management students learn the dynamics of distribution management in the rural context. After working through the case and assignment questions, the students will be able to:▪ Understand the transformation of rural retail from traditional models to organized modern retail;▪ Understand the opportunities and challenges of rural markets with specific reference to automobile products;▪ Identify and evaluate the various distribution channels available for rural markets; and▪ Devise a suitable rural-centric distribution model for automobile products following an appropriate logistics system.
Case overview/synopsis
Manan Motors, a dealership of Honda Motorcycle & Scooter India (HMSI) Private Limited in Hathras City of Uttar Pradesh province in India, has been operating successfully for the past two decades. Mr Manoj Bansal, the director at Manan Motors, was primarily targeting the urban markets with 60% dependency on the scooter portfolio of HMSI. But multiple pressures like stringent vehicle emission norms, price rise of two-wheelers and the impact of the pandemic took a toll upon the urban business of Honda Motorcycle and Scooter India Limited and subsequently upon Manan Motors. The sales for HMSI dipped from 15,121 million units in 2020–2021 to 13,466 million units in 2021–2022. Consequently, Bansal decided to alter the business strategy of Manan Motors and shift its focus from the urban to the rural territory of Hathras, where it could foresee demand for entry-level two-wheelers (engine capacity between 75 and 110 cc). Rural markets were developing, so Bansal realized that supplying a low-cost, low-end model to the rural Indian market was an opportunity for his dealership. Bansal’s decision to focus on the rural vertical of its two-wheeler business stirred several questions that floated in his mind. Should they manage distribution on their own, or through some channel members, or should they follow a rural-specific modern retail model?
Complexity academic level
The case study is designed for use by a postgraduate or executive-level audience for subjects such as sales and distribution management, distribution management and rural marketing. Students will understand the concept of distribution management and associated keywords specific to rural markets. The case study provides an opportunity to discuss and decide how a company can penetrate the rural market and also discusses the opportunities and challenges of rural distribution.
Supplementary materials
Teaching notes are available for educators only.
Subject code
CSS 9: Operations and logistics.
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Kalpana Rajsinghot, Shashi Bala and Puja Singhal
Rural entrepreneurship is an important vehicle to drive sustainable rural development in India. The process of planning, starting, and operating a new business is termed as…
Abstract
Rural entrepreneurship is an important vehicle to drive sustainable rural development in India. The process of planning, starting, and operating a new business is termed as entrepreneurship. It has been described as having the ability and willingness to create, plan, and manage a business enterprise while accepting any risks involved to generate a profit. In India’s rural areas, enterprise and entrepreneurship are what fuel economic progress. A rural entrepreneur is someone who uses rural resources to develop products and establish enterprises that support the development of the rural economy and its growth potential. Although, these rural business owners encounter issues similar to those faced by urban business owners due to the rural setting in which they operate amplifies their difficulties. To reduce rural people’s migration and to support rural upliftment, it is necessary to encourage entrepreneurship and new employment opportunities. Consequently, rural entrepreneurship has the potential to greatly increase employment in rural areas. It is a more effective method of eradicating poverty and hunger, sustainable health and well-being, enhancing gender equality, quality education, decent work conditions, promoting innovation in industries, and ultimately reducing the inequalities which are mapped with the important agenda of the United Nation’s sustainable development goals (SDGs 2030). To bring about change, institutions must concentrate on the interactions between education, skill, entrepreneurship, and employment. This chapter explores the challenges and skills required for rural entrepreneurship in India, proposing a framework to enhance rural development through entrepreneurship.
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Sachin Kashyap, Sanjeev Gupta and Tarun Chugh
The present work has proposed and employed an innovative hybrid method based on the combination of factor analysis and an artificial neural network (ANN) model to forecast…
Abstract
Purpose
The present work has proposed and employed an innovative hybrid method based on the combination of factor analysis and an artificial neural network (ANN) model to forecast customer satisfaction from the identified dimensions of service quality in India, a developing country.
Design/methodology/approach
The qualitative study is conducted with Internet banking users to understand e-banking clients' perceptions. The data is collected with the help of a questionnaire from randomly selected 208 customers in India. Firstly, factor analysis was performed to determine the influential factors of customer satisfaction, and four factors i.e. efficiency, reliability, security and privacy, and issue and problem handling were extracted accordingly. The neural network model is then applied to the factor scores to validate the key elements. Lastly, the comparative analysis of the actual ANN and the regression predicted result is done.
Findings
The success ability of the linear regression model is challenged when approximated to nonlinear problems such as customer satisfaction. It is concluded that the ANN model is a better fit than the linear regression model, and it can recognise the complex connections between the exogenous and endogenous variables. The results also show that reliability, security and privacy are the most influencing factors; however, problem handling and efficiency have the slightest effect on bank client satisfaction.
Research limitations/implications
This research is conducted in India, and the sample is chosen from the urban area. The limitation of the purposeful sampling technique and the cross-sectional nature of the data may hamper the generalisation of the results.
Originality/value
The conclusions from the study will be helpful for policymakers, bankers and academicians. To our knowledge, few studies used ANN modelling to predict customer satisfaction in the service sector