Purpose-The new technology aspects of Industry 4.0 (I4.0), such as digital technologies including... more Purpose-The new technology aspects of Industry 4.0 (I4.0), such as digital technologies including artificial intelligence (AI), block chain, big data analysis and the internet of things (IoT) as a digital cosmos, have the potential to fundamentally transform the future of business and supply chain management. By augmenting the functional components of the food supply chain (FSC), these technologies can transform it into an intelligent food supply chain (iFSC). The purpose of this study is to identify the I4.0 utilization for FSC to become an iFSC. Additionally, it suggests future research agendas to bridge the academic knowledge gaps. Design/methodology/approach-This study utilizes the bibliometric analysis methodology to investigate the techno-functional components of iFSC in the context of I4.0. The study followed steps of bibliometric analysis to assess existing components' knowledge in the area of intelligent food supply chain management. It further reviews the selected articles to explore the need for I4.0 technologies' adoption as well as its barriers and challenges for iFSC. Findings-This study examines the integration of emerging technologies in FSC and concludes that the main emphasis is on the adoption of blockchain and internet of things technology. To convert it into iFSC, it should be integrated with I4.0 and AI-driven FSC systems. In addition to traditional responsibilities, emerging technologies are acknowledged that are relatively uncommon but possess significant potential for implementation in FSC. This study further outlines the challenges and barriers to the adoption of new technologies and presents a comprehensive research plan or collection of topics for future investigations on the transition from FSC to iFSC. Utilizing artificial intelligence techniques to enhance performance, decision-making, risk evaluation, real-time safety, and quality analysis, and prioritizing the elimination of barriers for new technologies. Originality/value-The uniqueness of this study lies in the provision of an up-to-date review of the food supply chain. In doing so, the authors have expanded the current knowledge base on the utilization of all I4.0 technologies in FSC. The review of designated publications yield a distinctive contribution by highlighting hurdles and challenges for iFSC. This information is valuable for operations managers and policymakers to consider.
InternationalJournal of Information Management DataInsights, 2021
Travel and hospitality industry are adopting high end technology to reach out their customers. Ne... more Travel and hospitality industry are adopting high end technology to reach out their customers. New levels of disruption are being introduced using Artificial Intelligence and Machine Learning techniques of research. In the realm of physical and tangible aspects of service, since this sector have vast amounts of data available application of these techniques are being tested to explore various aspect of the customer experience. Data analysis algorithms like machine learning have been used by firms across the world to analyze these data and understand various facets of customer experience. However, these algorithms suffer from blackbox issues where businesses do not know how the outcome was achieved and if the analysis is biased in some way. In this study, we utilize an explainable machine learning approach on Airbnb data to understand solve two challenges associated with large-scale marketing data. First, we identify and prioritize the customer experience factors like bedrooms, host status, host response rate etc. that have an impact on product pricing. Secondly, we build and test an explainable predictive model on the same. Our research has significant implications for academia and industry in identifying applications of explainable algorithms in decision-making.
igital banking is a vast concept that is changing the landscape of banking in an accelerated mann... more igital banking is a vast concept that is changing the landscape of banking in an accelerated manner. The D two prominent digital channels for banking are mobile and online banking; these are coupled with other sub-channels such as telephone banking, debit and credit cards, and video banking. Digital banking is gaining importance globally, especially during the COVID-19 pandemic. Customers can use digital platforms throughout the day according to their banking aspirations. The two main research objectives are to identify the most important seven bivariate relationships affecting digital banking adoption universally and whether significant differences exist across continents; secondly, the study attempts to identify the most important factors contributing to this heterogeneity by applying the fundamentals of meta-analysis. There have been studies that
This article proposes to study theories of neuromarketing and consumer decision making to underst... more This article proposes to study theories of neuromarketing and consumer decision making to understand how neuromarketing can add insights to existing theories in consumer switching intensions. This systematic literature review will suggest how neuromarketing methods can be used to understand the consumer switching intensions and explore the known side of consumer behaviour. This paper help build platform for neurosciences that can facilitates better theory development and empirical testing by considering the biological and social context and the role of how these variables may influences on consumer while taking decision. This literature review also highlights need for new marketing tools and methods needed to understand switching behaviour pattern and causal variables for igniting switching intensions. Neuromarketing research may shed light on many unanswered questions regarding consumers switching intensions thus this study aims at identifying variables, degree, and direction for future research to understand deep aspects of switching intentions. Purpose-Neuromarketing research may shed light on many unanswered questions regarding consumers switching intensions thus this study aims at identifying variables, degree, and direction for future research to understand deep aspects of switching intentions. We argue that neuromarketing provides constraints to facilitate better understanding of consumer switching intensions, provided new empirical test of standards and findings, theoretical claims, can provide explanation for observed explanation for observed heterogeneity within across
Knowing your customer seems to be the biggest challenge. To bridge the gap between customer's exp... more Knowing your customer seems to be the biggest challenge. To bridge the gap between customer's expectations and company's offered services research proves neuromarketing as an effective tool. The present study makes an effort to find the core reasons of consumer engagement for impulsive buying of apparel online. It contributes in expanding marketer's knowledge for the field of online consumer behaviour by highlighting neuromarketing factors in knowing consumer perception and decision making so that the impact of advertisements, offers, discounts and other market strategies on consumer can be analysed by the marketer. The paper opted for an exploratory research by using a self-made questionnaire in which required data is collected from respondents in the National Capital Region. Both primary and secondary sources of data are used to obtain a better comprehension of neuromarketing as a solution for customer engagement. ANOVA and multiple regression have been used for testing the hypothesis. The study has come up with some interesting results whereby different age groups desire for the advertised product. Shopping online people do get affected by the quality of the brand. Factors like variety, price at other shops, mode of payment and time spent do not influence them much. Desire for advertised products, offers and discounts and fashion stimulation are highly significant factors of impulsive buying behaviour.
The input output model of this paper evaluates output effect of change in technology independent ... more The input output model of this paper evaluates output effect of change in technology independent of other factors. It also examines output effect of change economic in factors, indexed by final demand, independent of technology. Besides, joint output and technology effects are also analyzed.
Following Working definition is the base of concept of sustainability. Sustainable consumption is... more Following Working definition is the base of concept of sustainability. Sustainable consumption is the use of goods to satisfy basic needs without depriving future generations. Basic needs comprise food, clothing, housing , health, education , transport and such conveniences of life that boot standard of living at given levels of income and prices. Basic needs are defined with reference to the goods and services in the affordability of masses without supply constraints at given growth stage. Sustainability refers to environmental stability, technical feasibility and economic viability. Sustainable production stands for production of given quantities of goods of basic needs with minimum intermediate, labor and capital inputs, especially mineral and agricultural goods, and toxic materials in such ways as involve minimum damage to environment. Environmental stability refers to absence of natural and manmade disaster. The paper assumes labor not being a constraint to growth. Supply of indigenously produced intermediate goods, financial and physical capital constitutes constraint to growth. Indigenous production is emphasized due to past experience that import substitution led to more imports into India. The study treats growth of output of agro raw materials, mineral goods and other intermediate goods available domestically as constraints to growth of output of such industries as use such goods. Paper uses input output, programming and econometric models. Input Output model is used to determine commodity and sector wise input requirements. Programming model uses these input requirements as constraints. Econometric models uses relatively longer time series of GDP and selected commodities for which data are available. IO tables for years
While a large number of consumers in the India are shopping through Internet, research on what dr... more While a large number of consumers in the India are shopping through Internet, research on what drives consumers to shop online and why the traditional way of shopping is fading, has been fragmented. This paper therefore proposes a framework to critically evaluate online theories of consumer behavior and traditional theories of consumer behavior. The framework uses the construct of consumer behavior Models in Marketing as a basis and extended by the exogenous factors like (Behavioral factors, Socio-cultural Factors, Perceived behavior factors, Technological Factors etc.) and applies it to the online and Traditional shopping context. The review shows that attitudes toward online shopping and intention to shop online are not only affected by ease of use, usefulness, and enjoyment, but also by exogenous factors like consumer traits, situational factors, product characteristics, previous online shopping experiences, and trust in online shopping. INTRODUCTION Human behavior encompasses every thought, feeling or action by people. This implies that every thought, motive, sensation and decision that is made every day, is classified as human behavior. Belch & Belch (1990: 91) provide a link between human behavior and consumer behavior, by stating that consumer behavior has been defined as the study of human behavior in a consumer role.
There's no silver bullet or a magic wand for creating a great product. As engineers and designers... more There's no silver bullet or a magic wand for creating a great product. As engineers and designers, we break down big problems into a series of smaller but interconnected pieces that together bring desired outcomes. Prateek Narang Prateek Narang, founder of ColoredCow, a web services company, had a good reason to be impressed by his company's growth. His company reported net revenues of ₹725 million 1 in 2016, which reflected an increase of 140 per cent over 2015 (see Exhibit 1). Narang had set up his company less than three years earlier in 2014. As he assessed the growth figures in early 2017, he was filled with hope for the future. He began charting out a strategy for 2020, and set a revenue target for his company of ₹2.5 billion. Given the company's small size, as well as its involvement in multiple projects in many different areas, the target was very ambitious. ColoredCow's business to date mainly involved working with start-ups and small and medium enterprises to implement their Internet business ideas. Narang began building a strategic growth plan for the company, remaining mindful of ColoredCow's challenges and opportunities. His company's current growth was a result of word-of-mouth referrals from satisfied customers who helped him reach more customers, but it was time to look ahead and give his company some direction and focus. Narang realized that he had to address some important business issues: What technical and digital capabilities would ColoredCow need to implement to achieve success in the future? What possible scalability issues was the company likely to face? What should ColoredCow's strategic plan for growth look like? What marketing strategies should ColoredCow devise to increase its customer base and achieve the ambitious revenue target of ₹2.5 billion by 2020? 1 ₹ = INR = Indian rupee; all currency amounts are in ₹ unless otherwise specified; US$1 = ₹67.97 on December 21, 2016.
It is an established fact through theories that consumption and savings are inversely related. Gr... more It is an established fact through theories that consumption and savings are inversely related. Greater the consumption expenditure it leaves less proportion of income for savings and vice versa. However this aspect has not been tested empirically in depth. Till the mid 80's of last century current consumption expenditure was financed by and large from current income, but with the emergence of plastic money easy excess to finance as for personal housing, education, travel and for purchase of durables etc. was not a part of Indian business and economy. This has now become quite common. Such consumption expenditure results in substitution for current for future consumption and thus implies forced savings.
Purpose-The new technology aspects of Industry 4.0 (I4.0), such as digital technologies including... more Purpose-The new technology aspects of Industry 4.0 (I4.0), such as digital technologies including artificial intelligence (AI), block chain, big data analysis and the internet of things (IoT) as a digital cosmos, have the potential to fundamentally transform the future of business and supply chain management. By augmenting the functional components of the food supply chain (FSC), these technologies can transform it into an intelligent food supply chain (iFSC). The purpose of this study is to identify the I4.0 utilization for FSC to become an iFSC. Additionally, it suggests future research agendas to bridge the academic knowledge gaps. Design/methodology/approach-This study utilizes the bibliometric analysis methodology to investigate the techno-functional components of iFSC in the context of I4.0. The study followed steps of bibliometric analysis to assess existing components' knowledge in the area of intelligent food supply chain management. It further reviews the selected articles to explore the need for I4.0 technologies' adoption as well as its barriers and challenges for iFSC. Findings-This study examines the integration of emerging technologies in FSC and concludes that the main emphasis is on the adoption of blockchain and internet of things technology. To convert it into iFSC, it should be integrated with I4.0 and AI-driven FSC systems. In addition to traditional responsibilities, emerging technologies are acknowledged that are relatively uncommon but possess significant potential for implementation in FSC. This study further outlines the challenges and barriers to the adoption of new technologies and presents a comprehensive research plan or collection of topics for future investigations on the transition from FSC to iFSC. Utilizing artificial intelligence techniques to enhance performance, decision-making, risk evaluation, real-time safety, and quality analysis, and prioritizing the elimination of barriers for new technologies. Originality/value-The uniqueness of this study lies in the provision of an up-to-date review of the food supply chain. In doing so, the authors have expanded the current knowledge base on the utilization of all I4.0 technologies in FSC. The review of designated publications yield a distinctive contribution by highlighting hurdles and challenges for iFSC. This information is valuable for operations managers and policymakers to consider.
InternationalJournal of Information Management DataInsights, 2021
Travel and hospitality industry are adopting high end technology to reach out their customers. Ne... more Travel and hospitality industry are adopting high end technology to reach out their customers. New levels of disruption are being introduced using Artificial Intelligence and Machine Learning techniques of research. In the realm of physical and tangible aspects of service, since this sector have vast amounts of data available application of these techniques are being tested to explore various aspect of the customer experience. Data analysis algorithms like machine learning have been used by firms across the world to analyze these data and understand various facets of customer experience. However, these algorithms suffer from blackbox issues where businesses do not know how the outcome was achieved and if the analysis is biased in some way. In this study, we utilize an explainable machine learning approach on Airbnb data to understand solve two challenges associated with large-scale marketing data. First, we identify and prioritize the customer experience factors like bedrooms, host status, host response rate etc. that have an impact on product pricing. Secondly, we build and test an explainable predictive model on the same. Our research has significant implications for academia and industry in identifying applications of explainable algorithms in decision-making.
igital banking is a vast concept that is changing the landscape of banking in an accelerated mann... more igital banking is a vast concept that is changing the landscape of banking in an accelerated manner. The D two prominent digital channels for banking are mobile and online banking; these are coupled with other sub-channels such as telephone banking, debit and credit cards, and video banking. Digital banking is gaining importance globally, especially during the COVID-19 pandemic. Customers can use digital platforms throughout the day according to their banking aspirations. The two main research objectives are to identify the most important seven bivariate relationships affecting digital banking adoption universally and whether significant differences exist across continents; secondly, the study attempts to identify the most important factors contributing to this heterogeneity by applying the fundamentals of meta-analysis. There have been studies that
This article proposes to study theories of neuromarketing and consumer decision making to underst... more This article proposes to study theories of neuromarketing and consumer decision making to understand how neuromarketing can add insights to existing theories in consumer switching intensions. This systematic literature review will suggest how neuromarketing methods can be used to understand the consumer switching intensions and explore the known side of consumer behaviour. This paper help build platform for neurosciences that can facilitates better theory development and empirical testing by considering the biological and social context and the role of how these variables may influences on consumer while taking decision. This literature review also highlights need for new marketing tools and methods needed to understand switching behaviour pattern and causal variables for igniting switching intensions. Neuromarketing research may shed light on many unanswered questions regarding consumers switching intensions thus this study aims at identifying variables, degree, and direction for future research to understand deep aspects of switching intentions. Purpose-Neuromarketing research may shed light on many unanswered questions regarding consumers switching intensions thus this study aims at identifying variables, degree, and direction for future research to understand deep aspects of switching intentions. We argue that neuromarketing provides constraints to facilitate better understanding of consumer switching intensions, provided new empirical test of standards and findings, theoretical claims, can provide explanation for observed explanation for observed heterogeneity within across
Knowing your customer seems to be the biggest challenge. To bridge the gap between customer's exp... more Knowing your customer seems to be the biggest challenge. To bridge the gap between customer's expectations and company's offered services research proves neuromarketing as an effective tool. The present study makes an effort to find the core reasons of consumer engagement for impulsive buying of apparel online. It contributes in expanding marketer's knowledge for the field of online consumer behaviour by highlighting neuromarketing factors in knowing consumer perception and decision making so that the impact of advertisements, offers, discounts and other market strategies on consumer can be analysed by the marketer. The paper opted for an exploratory research by using a self-made questionnaire in which required data is collected from respondents in the National Capital Region. Both primary and secondary sources of data are used to obtain a better comprehension of neuromarketing as a solution for customer engagement. ANOVA and multiple regression have been used for testing the hypothesis. The study has come up with some interesting results whereby different age groups desire for the advertised product. Shopping online people do get affected by the quality of the brand. Factors like variety, price at other shops, mode of payment and time spent do not influence them much. Desire for advertised products, offers and discounts and fashion stimulation are highly significant factors of impulsive buying behaviour.
The input output model of this paper evaluates output effect of change in technology independent ... more The input output model of this paper evaluates output effect of change in technology independent of other factors. It also examines output effect of change economic in factors, indexed by final demand, independent of technology. Besides, joint output and technology effects are also analyzed.
Following Working definition is the base of concept of sustainability. Sustainable consumption is... more Following Working definition is the base of concept of sustainability. Sustainable consumption is the use of goods to satisfy basic needs without depriving future generations. Basic needs comprise food, clothing, housing , health, education , transport and such conveniences of life that boot standard of living at given levels of income and prices. Basic needs are defined with reference to the goods and services in the affordability of masses without supply constraints at given growth stage. Sustainability refers to environmental stability, technical feasibility and economic viability. Sustainable production stands for production of given quantities of goods of basic needs with minimum intermediate, labor and capital inputs, especially mineral and agricultural goods, and toxic materials in such ways as involve minimum damage to environment. Environmental stability refers to absence of natural and manmade disaster. The paper assumes labor not being a constraint to growth. Supply of indigenously produced intermediate goods, financial and physical capital constitutes constraint to growth. Indigenous production is emphasized due to past experience that import substitution led to more imports into India. The study treats growth of output of agro raw materials, mineral goods and other intermediate goods available domestically as constraints to growth of output of such industries as use such goods. Paper uses input output, programming and econometric models. Input Output model is used to determine commodity and sector wise input requirements. Programming model uses these input requirements as constraints. Econometric models uses relatively longer time series of GDP and selected commodities for which data are available. IO tables for years
While a large number of consumers in the India are shopping through Internet, research on what dr... more While a large number of consumers in the India are shopping through Internet, research on what drives consumers to shop online and why the traditional way of shopping is fading, has been fragmented. This paper therefore proposes a framework to critically evaluate online theories of consumer behavior and traditional theories of consumer behavior. The framework uses the construct of consumer behavior Models in Marketing as a basis and extended by the exogenous factors like (Behavioral factors, Socio-cultural Factors, Perceived behavior factors, Technological Factors etc.) and applies it to the online and Traditional shopping context. The review shows that attitudes toward online shopping and intention to shop online are not only affected by ease of use, usefulness, and enjoyment, but also by exogenous factors like consumer traits, situational factors, product characteristics, previous online shopping experiences, and trust in online shopping. INTRODUCTION Human behavior encompasses every thought, feeling or action by people. This implies that every thought, motive, sensation and decision that is made every day, is classified as human behavior. Belch & Belch (1990: 91) provide a link between human behavior and consumer behavior, by stating that consumer behavior has been defined as the study of human behavior in a consumer role.
There's no silver bullet or a magic wand for creating a great product. As engineers and designers... more There's no silver bullet or a magic wand for creating a great product. As engineers and designers, we break down big problems into a series of smaller but interconnected pieces that together bring desired outcomes. Prateek Narang Prateek Narang, founder of ColoredCow, a web services company, had a good reason to be impressed by his company's growth. His company reported net revenues of ₹725 million 1 in 2016, which reflected an increase of 140 per cent over 2015 (see Exhibit 1). Narang had set up his company less than three years earlier in 2014. As he assessed the growth figures in early 2017, he was filled with hope for the future. He began charting out a strategy for 2020, and set a revenue target for his company of ₹2.5 billion. Given the company's small size, as well as its involvement in multiple projects in many different areas, the target was very ambitious. ColoredCow's business to date mainly involved working with start-ups and small and medium enterprises to implement their Internet business ideas. Narang began building a strategic growth plan for the company, remaining mindful of ColoredCow's challenges and opportunities. His company's current growth was a result of word-of-mouth referrals from satisfied customers who helped him reach more customers, but it was time to look ahead and give his company some direction and focus. Narang realized that he had to address some important business issues: What technical and digital capabilities would ColoredCow need to implement to achieve success in the future? What possible scalability issues was the company likely to face? What should ColoredCow's strategic plan for growth look like? What marketing strategies should ColoredCow devise to increase its customer base and achieve the ambitious revenue target of ₹2.5 billion by 2020? 1 ₹ = INR = Indian rupee; all currency amounts are in ₹ unless otherwise specified; US$1 = ₹67.97 on December 21, 2016.
It is an established fact through theories that consumption and savings are inversely related. Gr... more It is an established fact through theories that consumption and savings are inversely related. Greater the consumption expenditure it leaves less proportion of income for savings and vice versa. However this aspect has not been tested empirically in depth. Till the mid 80's of last century current consumption expenditure was financed by and large from current income, but with the emergence of plastic money easy excess to finance as for personal housing, education, travel and for purchase of durables etc. was not a part of Indian business and economy. This has now become quite common. Such consumption expenditure results in substitution for current for future consumption and thus implies forced savings.
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