An Empirical Verification of the Proposed Distributor Marketing Intelligence System (DMiS) Model

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Boselin Prabhu ◽  
Renju K. Mathai ◽  
Sanjeev M.A. ◽  
Thangaraja Arumugam ◽  
Balamourougane R ◽  
...  
Keyword(s):  
Empirical Verification ◽  
Intelligence System ◽  
Marketing Intelligence

EXPRESS: The Gift of Data: Industry-Led Food Reformulation and the Obesity Crisis in Europe

2020 ◽  
pp. 074391562098384
Author(s):  
Norah Campbell ◽  
Sarah Browne ◽  
Marius Claudy ◽  
Melissa Mialon ◽  
Hercberg Serge ◽  
...  
Keyword(s):  
Public Health ◽  
Food Industry ◽  
Processed Food ◽  
Policy Makers ◽  
Intelligence System ◽  
Gift Economy ◽  
Nutrition Policies ◽  
The Gift ◽  
Marketing Intelligence ◽  
The Impact

Ultra-processed food manufacturers have proposed that product reformulation should be a key strategy to tackle obesity. In determining the impact of reformulation on population dietary behaviours, policy makers are often dependant on data provided by these manufacturers. Where such data are “gifted” to regulators there may be an implicit expectation of reciprocity that adversely influences nutrition policies. We sought to assess Europe’s industry-led reformulation strategy in five countries deploying critical policy studies as an approach. We found that interim results on industry-led food reformulation did not meet their targets. Information asymmetries exist between food industry and policy makers: the latter are not privy to marketing intelligence and must instead rely on data that are voluntarily donated by food industry actors. These data represent a distorted snippet of the marketing intelligence system from whence they came. Because these data indeed bear all the hallmarks of a gift, regulatory and public health authorities operate within a gift economy. The implications of this “data gift economy” are strategic delay and goal-setting when the field is not visible. Ultimately, this could diminish the implementation of public health nutrition policies that are contrary to the commercial interests of ultra-processed food producers.

THE SALES FORCE AS A MARKETING INTELLIGENCE SYSTEM

1988 ◽  
Vol 3 (1) ◽  
pp. 53-59 ◽  
Author(s):  
Troy A. Festervand ◽  
Stephen J. Grove ◽  
R. Eric Reidenbach
Keyword(s):  
Sales Force ◽  
Intelligence System ◽  
Marketing Intelligence

The Lonely Comate - The Adoption-Failure of an Intranet-based Consumer and Market Intelligence System

2011 ◽  
pp. 130-150
Author(s):  
Paul H. J. Hendriks ◽  
Wendy H. Jacobs
Keyword(s):  
Technology Acceptance ◽  
Project Team ◽  
Information Flows ◽  
Market Intelligence ◽  
Intelligence System ◽  
Marketing Intelligence ◽  
Task Technology Fit ◽  
Acceptance Model ◽  
And Task

The case study concerns the disappointing reception of an intranet application at TopTech, a prominent player in the field of electronics. The application in question, called Comate, which stands for Consumer and Market Intelligence Technology Environment, was conceived and built by the central staff department for Consumer and Marketing Intelligence (CMI) of the company. When this application was introduced some years ago, its purpose was to smooth information flows between CMI departments worldwide and to enhance networking between these departments. The organization decided to form a project team to investigate the reasons for the lacking acceptance of the system by intended users and to establish what would be the most appropriate reaction on the part of Central CMI: change the system, initiate new, supportive initiatives, or abandon the Comate project altogether. The case study examines how this project team tackled the problem. The team decided to address the evaluation, diagnosis, and redesign of the system and its possible contribution to CMI from the perspective of the systems acceptability. Key component in its methodology was the integrated use of the Technology Acceptance model (TAM) and Task-Technology Fit model (TTF).

scholarly journals Analyzing the integrative relationship between Marketing intelligence system and Mass customization strategies

2020 ◽  
Vol 6 (4) ◽  
pp. 12
Author(s):  
Kawa Muhamad Rostam ◽  
Kawa Muhamad Farag Qaradaghe
Keyword(s):  
Information Technology ◽  
Mass Customization ◽  
Theoretical Aspect ◽  
Main Hypothesis ◽  
Important Conclusion ◽  
Cement Factory ◽  
Intelligence System ◽  
Production Department ◽  
Clear Vision ◽  
Marketing Intelligence

This research aimed to explain the complementary relationship between the marketing intelligence system and mass customization strategies which is to take advantage of the opportunities available to business organizations through a field case study at the GASN cement factory and Tasluja cement factory in Sulaymaniyah Governorate. And to achieve these goals, the study demonstrated through the theoretical aspect to put forward some of what it is mentioned in both marketing intelligence and mass customization system topics, relying on not a few Arab and foreign resources.  As - for the practical side, the two researchers relied on a questionnaire which included a set of common dimensions between the marketing intelligence system and mass customization system, and then the responses of the research sample were analyzed through the statistical software (SPSS) for data analysis. The main hypothesis of the research was the existence of a positive and significant relationship between the marketing intelligence systems and mass customization system. The research reached to a number of conclusions. The most important conclusion among these was that there is a significant positive relationship between the two variables, where information technology contributes to supporting the marketing intelligence system by collecting, analyzing, storing and publishing data and converting it into information to help organizations in general and the organization under search in making appropriate decisions to maintain their competitive position in the market. The marketing intelligence system gives a clear vision for the production department to take advantage of existing opportunities in the current market or in the potential markets. Where as the most important suggestions presented by the researchers , are: The necessity of using the latest information technology, such as using computers and servers for the purpose of maintaining; publishing and constantly updating information; moreover to analyzing the market through the information provided by the system for the purpose of production department service and predicting mass customization system.

scholarly journals The role of marketing intelligence system in achieving customer happiness

2020 ◽  
Vol 6 (1) ◽  
pp. 20
Author(s):  
Yousif Obed Hemeh Ameen ◽  
Nishteman Othman Moheden
Keyword(s):  
Intelligent System ◽  
Strong Positive Correlation ◽  
Business Organizations ◽  
Intelligence System ◽  
Strong Positive Relationship ◽  
Marketing Intelligence ◽  
Moral Factor ◽  
The Given ◽  
The Relationship

The objective of this study is to measure the nature of the relationship between research variables including the dimensions of marketing intelligent system and customer size. The study investigates whether marketing intelligent system plays the role in obtaining customer happiness in business organizations. The study tried to measure the relationship between marketing intelligence system and its dimension against customer happiness in the given organizations. It also aims to identify the impacts of moral factor of marketing intelligent system and its dimensions on customer happiness. To test given hypotheses, the study used a number of statistical analysis methods such as repetitions, percentages, arithmetic mean, standard deviation, correlation coefficient, and simple linear regression coefficient. The findings indicated that there is a strong positive relationship between marketing intelligence and customer happiness. The study also identified a strong positive correlation between moral factors of marketing intelligence and customer happiness.  The study concluded that organizations should take full consideration to the factors that delights customers. Finally, the study recommends that organizations should work through employees to cultivate a culture of customer happiness. Keywords - Marketing Intelligence, Marketing Intelligence Dimensions, Customer Happiness, Five Star Hotels, Sulaymaniyah City  

A Design Framework for a Market Intelligence System for Healthcare Sector

2013 ◽  
pp. 288-305
Author(s):  
George Jamil ◽  
Lorena Furbino ◽  
Leandro Santos ◽  
Marcus Alves ◽  
Rafael Santiago ◽  
...  
Keyword(s):  
Value Chain ◽  
Healthcare Sector ◽  
Product Positioning ◽  
Organizational Intelligence ◽  
Healthcare Market ◽  
Intelligence System ◽  
Managerial Support ◽  
Marketing Intelligence ◽  
Marketing Data ◽  
Healthcare Associated

The healthcare market is a dynamic sector, where marketing decisions are decisive and critical. Strategic and tactical planning demand data and information to produce knowledge, which will capacitate firms for business maneuvers as product positioning, pricing, and technological implementation for optimal business development. Marketing data and information must be provided from a variety of sources to produce knowledge, in a process that can be characterized as “organizational intelligence.” Collected contents from healthcare associated industrial sectors, such as chemical and pharmaceutical, have the potential to produce integrated value chain knowledge, improving analysis and decision processes. Approaching the healthcare market, a framework for an intelligence system for marketing decisions is discussed in this chapter. Initially reviewing the literature, a conceptual base is formed, which delimits the evaluation of intended framework. As an exam of practical marketing intelligence system application, case studies of real decisions observed in Brazilian market are done at the end of the chapter to evaluate how intelligence and knowledge, as conceptualized in the literature review, serve in typical healthcare marketing competition, as managerial support for problem solutions.

scholarly journals INTELIJENSI PEMASARAN DALAM UPAYA MEMPERTAHANKAN KEUNGGULAN KOMPETITIF

IQTISHODUNA ◽  
2016 ◽  
Vol 9 (2) ◽  
pp. 144-151
Author(s):  
Miftahus Syukron ◽  
Slamet Slamet
Keyword(s):  
Information Processing ◽  
Competitive Advantage ◽  
Customer Value ◽  
Price Promotion ◽  
Promotion Strategy ◽  
Value Analysis ◽  
Intelligence System ◽  
Customer Value Analysis ◽  
Marketing Intelligence ◽  
A Company

ne" Marketing intelligence is very important for a company to maintain its competitive advantage inorder to face industrial competition. So, if it is done optimally, the information about competitors data can thenbe achieved and the company can make a decision related to the information. In reality great scale company,which is the object of the research, implement marketing inteligence based on intelligence activities, sources,and factors. Therefore, the company has to adopt the marketing intelligence system to face existing industrialcompetition and be able to apply it as the procedure. The result shows that: 1) The marketing intelligenceemployed by great scale companies uses competitive advantage planning and customer value analysis inobserving its competitor. 2) The marketing intelligence source employed by great scale companies uses twosources, company environment (internal) and outside environment of the company (external). 3) Marketingintelligence factor employed by great scale companies uses 3 factors. First, the observation of 6 main competitordata including competitor’s products, price, promotion, strategy, sale, and other data.Second, competitiveadvantage factor emphasizing on information processing related to competitor’s innovation such as productquality. Third, the salesman factor who employs person in the company to do marketing intelligence in whichthe company ability is very important in these factors application.

scholarly journals The role of marketing intelligence system in achieving customer happiness

2020 ◽  
Vol 6 (1) ◽  
pp. 19
Author(s):  
Yousif Obed Hemeh Ameen ◽  
Nishteman Othman Moheden
Keyword(s):  
Intelligent System ◽  
Strong Positive Correlation ◽  
Business Organizations ◽  
Intelligence System ◽  
Strong Positive Relationship ◽  
Marketing Intelligence ◽  
Moral Factor ◽  
The Given ◽  
The Relationship

The objective of this study is to measure the nature of the relationship between research variables including the dimensions of marketing intelligent system and customer size. The study investigates whether marketing intelligent system plays the role in obtaining customer happiness in business organizations. The study tried to measure the relationship between marketing intelligence system and its dimension against customer happiness in the given organizations. It also aims to identify the impacts of moral factor of marketing intelligent system and its dimensions on customer happiness. To test given hypotheses, the study used a number of statistical analysis methods such as repetitions, percentages, arithmetic mean, standard deviation, correlation coefficient, and simple linear regression coefficient. The findings indicated that there is a strong positive relationship between marketing intelligence and customer happiness. The study also identified a strong positive correlation between moral factors of marketing intelligence and customer happiness.  The study concluded that organizations should take full consideration to the factors that delights customers. Finally, the study recommends that organizations should work through employees to cultivate a culture of customer happiness. Keywords - Marketing Intelligence, Marketing Intelligence Dimensions, Customer Happiness, Five Star Hotels, Sulaymaniyah City  

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